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Paper Citation Record · LEDGER

Mitigating Context Interference for Reliable and Efficient Search Agents

As of 14 August 2026, this Paper Citation Record lists 100 of 109 outbound references and 0 inbound Pith citation observations for arXiv:2608.10743.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2608.10743 v1

Coverage vector

measured 100 of 109 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T18:16:33.848023Z

measured 100 of 100 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

100 of 109 outbound references displayed

  • verified exact0
  • verified fuzzy3
  • unresolved97
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 2c9fc551-f26e-401b-9c92-f9d4f8d0d338 · outbound

This paper cites Benchmarking Knowledge Boundary for Large Language Models: A Different Perspective on Model Evaluation.

Mitigating Context Interference for Reliable and Efficient Search Agents Benchmarking Knowledge Boundary for Large Language Models: A Different Perspective on Model Evaluation

Reference 1

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source=arxiv_source observed=2026-08-12T18:16:33.384890Z digest=sha256:a1e23527230699b57396c8d17891ea3d14c0a097ed79605d40d7adb8c6615499

Observation 17df3c96-8b89-4cc4-9b52-ce48bbfc2cc4 · outbound

This paper cites Knowledge Boundary of Large Language Models: A Survey.

Mitigating Context Interference for Reliable and Efficient Search Agents Knowledge Boundary of Large Language Models: A Survey

Reference 2

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source=arxiv_source observed=2026-08-12T18:16:33.390438Z digest=sha256:9e50a29adc57822a7cf60f192d42d23020932bfac4aee9fea0c5cc4e905c4f6b

Observation 015cc59a-1f6b-4687-a12c-ed6d540f0725 · outbound

This paper cites Give Me the Facts! A Survey on Factual Knowledge Probing in Pre-trained Language Models.

Mitigating Context Interference for Reliable and Efficient Search Agents Give Me the Facts! A Survey on Factual Knowledge Probing in Pre-trained Language Models

Reference 3

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source=arxiv_source observed=2026-08-12T18:16:33.395074Z digest=sha256:3ec32d87b3f60c8ea0ce4518039471510fb3b36f6b0b39f30c7f049be1c19467

Observation 26d754b3-e6e3-46a6-9ca5-5d20069b29f4 · outbound

This paper cites Investigating the Factual Knowledge Boundary of Large Language Models with Retrieval Augmentation.

Mitigating Context Interference for Reliable and Efficient Search Agents Investigating the Factual Knowledge Boundary of Large Language Models with Retrieval Augmentation

Reference 4

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source=arxiv_source observed=2026-08-12T18:16:33.400298Z digest=sha256:a9e65a21a53e6cfd0b5d79f42b5da843d893a525ae93f1f65108b91a91b0451a

Observation d30211a0-b873-45df-b775-84350ac3ffe2 · outbound

This paper cites 2025 , eprint=.

Mitigating Context Interference for Reliable and Efficient Search Agents 2025 , eprint=

Reference 5

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source=arxiv_source observed=2026-08-12T18:16:33.404981Z digest=sha256:bb46d5b2679b566021d69c72667a1d242e89321afd51bf69d73df9230d50c9dc

Observation 1163ec95-ff1b-4df4-a504-6ec4ebaaccc7 · outbound

This paper cites 2025 , eprint=.

Mitigating Context Interference for Reliable and Efficient Search Agents 2025 , eprint=

Reference 6

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no resolver link, observed 2026-08-12T18:16:33.409389Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T18:16:33.409389Z digest=sha256:ab7d7904b445501918070a28fa584d0c9c35c70158aa453c6312add2f93a83dc

Observation a3e71d08-aab7-4f65-b3b4-528fa34c108e · outbound

This paper cites 2025 , eprint=.

Mitigating Context Interference for Reliable and Efficient Search Agents 2025 , eprint=

Reference 7

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no resolver link, observed 2026-08-12T18:16:33.414578Z

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source=arxiv_source observed=2026-08-12T18:16:33.414578Z digest=sha256:9d3a0c76c46d38ab55dd8d7b39f4844c1bf402ed3efa8cb33513167a03909962

Observation b58f33bf-8f52-4bde-94ac-02f95874e65d · outbound

This paper cites 2025 , eprint=.

Mitigating Context Interference for Reliable and Efficient Search Agents 2025 , eprint=

Reference 8

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source=arxiv_source observed=2026-08-12T18:16:33.419052Z digest=sha256:0d5646fb27f57c4c66d775d648ad8f205177ed83c1c8cea2c8356e8ee2786f9a

Observation 52766af5-5f98-4bf7-825e-f1c78db05b83 · outbound

This paper cites 2025 , eprint=.

Mitigating Context Interference for Reliable and Efficient Search Agents 2025 , eprint=

Reference 9

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no resolver link, observed 2026-08-12T18:16:33.424291Z

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source=arxiv_source observed=2026-08-12T18:16:33.424291Z digest=sha256:89e5638d12173e830b8e73cf82e4efe13f03f163b4a31bd514894b0c6a4d2a8b

Observation 73d7e6c1-d9db-431d-8f45-0ade26a5d86e · outbound

This paper cites 2024 , eprint=.

Mitigating Context Interference for Reliable and Efficient Search Agents 2024 , eprint=

Reference 10

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source=arxiv_source observed=2026-08-12T18:16:33.429563Z digest=sha256:b7e8f7d35504ba7e208a2a7adc6050de13f498bc0359455d4012495efaa3aac1

Observation c283065c-1a44-4b91-8b38-423162f0265a · outbound

This paper cites 2025 , eprint=.

Mitigating Context Interference for Reliable and Efficient Search Agents 2025 , eprint=

Reference 11

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source=arxiv_source observed=2026-08-12T18:16:33.434344Z digest=sha256:9cb2c0c1a3116c49f984723d6a38cd5db14372937e490471918f136bfaaa0012

Observation 19720dd8-13a5-4fa9-b0d6-902e4919cca6 · outbound

This paper cites 2025 , eprint=.

Mitigating Context Interference for Reliable and Efficient Search Agents 2025 , eprint=

Reference 12

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no resolver link, observed 2026-08-12T18:16:33.439337Z

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source=arxiv_source observed=2026-08-12T18:16:33.439337Z digest=sha256:536569ac7e869ae3f350287e25678f42e65eb1f3bc092ef7984c608647da8873

Observation d794454e-108c-4af4-84ef-805f882e03f8 · outbound

This paper cites 2018 , eprint=.

Mitigating Context Interference for Reliable and Efficient Search Agents 2018 , eprint=

Reference 13

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source=arxiv_source observed=2026-08-12T18:16:33.443646Z digest=sha256:e4477c0857f37137c41d5472a8b8aaf3147cf16663def888e8f2a652bb610fe2

Observation 6ea2bbe3-6654-409b-8fd6-52143a3041be · outbound

This paper cites Li and Y.

Mitigating Context Interference for Reliable and Efficient Search Agents Li and Y

Reference 14

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source=arxiv_source observed=2026-08-12T18:16:33.447923Z digest=sha256:c46e5b810759f9c3824458fab74b96a402dffe212551544d40d46368a502899c

Observation eedcebd7-a402-4b75-a85c-a81f76b79ab0 · outbound

This paper cites 2023 , eprint=.

Mitigating Context Interference for Reliable and Efficient Search Agents 2023 , eprint=

Reference 15

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T18:16:33.454073Z digest=sha256:84c1cd95d95239c1d8e2f138833e72a62dae356d8a262bf05ea576b45dfa2797

Observation c872b30c-5a9e-4808-97ab-59e91d16fa17 · outbound

This paper cites 2025 , eprint=.

Mitigating Context Interference for Reliable and Efficient Search Agents 2025 , eprint=

Reference 16

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no resolver link, observed 2026-08-12T18:16:33.458354Z

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source=arxiv_source observed=2026-08-12T18:16:33.458354Z digest=sha256:2513d537e73dd192ca28a2cc238869dd5dd51628612e4c08fad57920bd277b06

Observation 09087e4c-25d4-4414-8348-37a3237a28cf · outbound

This paper cites 2025 , eprint=.

Mitigating Context Interference for Reliable and Efficient Search Agents 2025 , eprint=

Reference 17

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source=arxiv_source observed=2026-08-12T18:16:33.462485Z digest=sha256:030262bd62db625e6210be2e2de14bd45768ff918feaf4c0d1c9b633742d9646

Observation 3a4b4fbb-e1cf-4230-9513-850a48cb61f0 · outbound

This paper cites 2025 , eprint=.

Mitigating Context Interference for Reliable and Efficient Search Agents 2025 , eprint=

Reference 18

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source=arxiv_source observed=2026-08-12T18:16:33.466621Z digest=sha256:51b71a44d1431bb197a5a6776f5dba30a41e877ceea1a6618a638edc81ead2c7

Observation ae451807-c809-4227-8f73-850416e1ef06 · outbound

This paper cites Proceedings of the ACM on Web Conference 2025 , pages =.

Mitigating Context Interference for Reliable and Efficient Search Agents Proceedings of the ACM on Web Conference 2025 , pages =

Reference 19

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no resolver link, observed 2026-08-12T18:16:33.470900Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T18:16:33.470900Z digest=sha256:2e6d430408d9f4358fc218bc87faef314bbefcc3ebe8b1949ee2a63972c46bf9

Observation 63836edb-2e17-4d2d-b94b-4f4afb694f6d · outbound

This paper cites 2023 , eprint=.

Mitigating Context Interference for Reliable and Efficient Search Agents 2023 , eprint=

Reference 20

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no resolver link, observed 2026-08-12T18:16:33.475853Z

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source=arxiv_source observed=2026-08-12T18:16:33.475853Z digest=sha256:00998b54c7724b06ef228dec3f187192c37809b263edf7ca625c5cc65983de7d

Observation 40f6ddc0-6db1-417e-baa4-4cb1a7144242 · outbound

This paper cites LLM Task Interference: An Initial Study on the Impact of Task-Switch in Conversational History.

Mitigating Context Interference for Reliable and Efficient Search Agents LLM Task Interference: An Initial Study on the Impact of Task-Switch in Conversational History

Reference 21

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source=arxiv_source observed=2026-08-12T18:16:33.480786Z digest=sha256:fbd794331d3862e46184efdc31cfbea62f68355452b3f0b8c4c5333dc20fc49d

Observation ffab600e-8b33-452c-b090-604cfc5a8ed4 · outbound

This paper cites 2025 , eprint=.

Mitigating Context Interference for Reliable and Efficient Search Agents 2025 , eprint=

Reference 22

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source=arxiv_source observed=2026-08-12T18:16:33.485193Z digest=sha256:e066969e26a647ad099fe584f40053e2ec33be8cf2b841d8ea20413a2a03a8a0

Observation c0ebe84c-6f6e-42ec-91a0-538766c4f84f · outbound

This paper cites NPJ digital medicine , volume=.

Mitigating Context Interference for Reliable and Efficient Search Agents NPJ digital medicine , volume=

Reference 23

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no resolver link, observed 2026-08-12T18:16:33.489644Z

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source=arxiv_source observed=2026-08-12T18:16:33.489644Z digest=sha256:1b8b9e9cf7d9357d370d311f535bd462e3de4d9163daf2d2cc78533536dd4476

Observation 9debc1a8-fa0f-49f1-9d78-9d441a9edadf · outbound

This paper cites Proceedings of the Fourth ACM International Conference on AI in Finance , pages =.

Mitigating Context Interference for Reliable and Efficient Search Agents Proceedings of the Fourth ACM International Conference on AI in Finance , pages =

Reference 24

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no resolver link, observed 2026-08-12T18:16:33.493870Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T18:16:33.493870Z digest=sha256:097a842f2216c7d525b54a0e5a9f15ec94c32be8e0f8dbedcfe76eb9cd1f5c5d

Observation 4df3f535-1c2b-4379-8091-51a679f0933b · outbound

This paper cites ACM computing surveys , volume=.

Mitigating Context Interference for Reliable and Efficient Search Agents ACM computing surveys , volume=

Reference 25

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source=arxiv_source observed=2026-08-12T18:16:33.498734Z digest=sha256:75c2f425a700ffc311791ff5ed45b00598a1298d380f66b3b1103e53f2e27cbe

Observation 1e651f4a-48a2-4bfc-b449-e551baa4facb · outbound

This paper cites ACM Transactions on Information Systems , volume=.

Mitigating Context Interference for Reliable and Efficient Search Agents ACM Transactions on Information Systems , volume=

Reference 26

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source=arxiv_source observed=2026-08-12T18:16:33.503853Z digest=sha256:ab9412e08d2391d357fcc1796068ce53793899a418ca06bec32884d85498cd30

Observation 8e0c1173-6cd8-4768-a108-9beac79d0c95 · outbound

This paper cites 2024 , eprint=.

Mitigating Context Interference for Reliable and Efficient Search Agents 2024 , eprint=

Reference 27

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no resolver link, observed 2026-08-12T18:16:33.508055Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T18:16:33.508055Z digest=sha256:74d1289e48eb81d15f5da97d85fe2e02d37a808b3f81f16f52b205b21488d12b

Observation d5a00c29-0afa-4f14-a7b6-62b0902394f1 · outbound

This paper cites Advances in neural information processing systems , volume=.

Mitigating Context Interference for Reliable and Efficient Search Agents Advances in neural information processing systems , volume=

Reference 28

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no resolver link, observed 2026-08-12T18:16:33.512229Z

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source=arxiv_source observed=2026-08-12T18:16:33.512229Z digest=sha256:feca5f96483cba7a4a9df4d92aab3853aa74fdd08d151063cde0bee76e577ff7

Observation fbe5507c-5e5c-4b05-836a-8cc8395bdd08 · outbound

This paper cites 2025 , eprint=.

Mitigating Context Interference for Reliable and Efficient Search Agents 2025 , eprint=

Reference 29

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no resolver link, observed 2026-08-12T18:16:33.516569Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T18:16:33.516569Z digest=sha256:fb9a6465c10d5f5ebfd74c52b3a80b4d994d6f35e5915a31ee9a06408529aa97

Observation 4a750793-df71-428b-92fb-4fa889ee7a44 · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

Mitigating Context Interference for Reliable and Efficient Search Agents Advances in Neural Information Processing Systems , volume=

Reference 30

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no resolver link, observed 2026-08-12T18:16:33.521466Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T18:16:33.521466Z digest=sha256:5242f2e0f3cdb9ffad8395d824d53facb853835537d87a24bdb1639fed86f8ba

Observation 5715b359-1ec8-4cd4-9082-1acf546df950 · outbound

This paper cites Interleaving Retrieval with Chain-of-Thought Reasoning for Knowledge-Intensive Multi-Step Questions.

Mitigating Context Interference for Reliable and Efficient Search Agents Interleaving Retrieval with Chain-of-Thought Reasoning for Knowledge-Intensive Multi-Step Questions

Reference 31

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source=arxiv_source observed=2026-08-12T18:16:33.526801Z digest=sha256:e1388f86112e6b8e0da2c8c8de1d3950fb3216b0b75eda1d4cff9cabc5118507

Observation 7e55c61b-ad79-4c14-9ab6-09cb6468ed2d · outbound

This paper cites ICLR , author =.

Mitigating Context Interference for Reliable and Efficient Search Agents ICLR , author =

Reference 32

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no resolver link, observed 2026-08-12T18:16:33.531442Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T18:16:33.531442Z digest=sha256:af6bdf7c3c2fa2f430cf1b51e6b5e7a15355d99f21548661406df9415f4cea80

Observation 36ee4cbc-339e-49e9-9696-bb5f90ee3c21 · outbound

This paper cites Journal of artificial intelligence research , volume=.

Mitigating Context Interference for Reliable and Efficient Search Agents Journal of artificial intelligence research , volume=

Reference 33

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no resolver link, observed 2026-08-12T18:16:33.535781Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T18:16:33.535781Z digest=sha256:ff159f3700eb2533359584736b7bc2efaea4fb36b9a1b3d5d470595a418ed54d

Observation 1798e18a-9eb1-4200-b3d1-2956d813db4f · outbound

This paper cites Advances in neural information processing systems , volume=.

Mitigating Context Interference for Reliable and Efficient Search Agents Advances in neural information processing systems , volume=

Reference 34

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no resolver link, observed 2026-08-12T18:16:33.541525Z

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source=arxiv_source observed=2026-08-12T18:16:33.541525Z digest=sha256:3ca50c25f842bb8e372d0b750108c8ebf1e0e9b05b0cdb37c319f865bfb4f3a5

Observation 1b36e0da-949b-4b0f-ad3c-67d2ac3dc079 · outbound

This paper cites Advances in neural information processing systems , volume=.

Mitigating Context Interference for Reliable and Efficient Search Agents Advances in neural information processing systems , volume=

Reference 35

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source=arxiv_source observed=2026-08-12T18:16:33.546453Z digest=sha256:607c4cfa9a33dccc1e72c53ce17d374c5f4dc8b5e02fcce929a1e1efaead32df

Observation f992729f-b559-4304-b1c9-db9dfac3d794 · outbound

This paper cites Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers),.

Mitigating Context Interference for Reliable and Efficient Search Agents Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers),

Reference 36

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no resolver link, observed 2026-08-12T18:16:33.550806Z

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source=arxiv_source observed=2026-08-12T18:16:33.550806Z digest=sha256:c30bff02dd65b4c709ddaa3c77a4a09c515d18d2f6da3cdddbe944c942216ac5

Observation 6c158f91-057d-45cf-950f-0eaa7304618b · outbound

This paper cites 2025 , eprint=.

Mitigating Context Interference for Reliable and Efficient Search Agents 2025 , eprint=

Reference 37

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T18:16:33.555680Z digest=sha256:489e65e092edbab00e9f5b0eea530b469f90545f73fcff3c6d785ab081954ddf

Observation 00f14e72-e36a-419b-9988-f2aaa58533be · outbound

This paper cites and Favre, Benoit.

Mitigating Context Interference for Reliable and Efficient Search Agents and Favre, Benoit

Reference 38

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source=arxiv_source observed=2026-08-12T18:16:33.560097Z digest=sha256:83b49e6fa503191cb3624660f382acd964676cf5e055f9e28f30495dd4c4336e

Observation 85140f04-29fc-4bb9-b334-6391e95a058b · outbound

This paper cites R e2 G : Retrieve, Rerank, Generate.

Mitigating Context Interference for Reliable and Efficient Search Agents R e2 G : Retrieve, Rerank, Generate

Reference 39

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no resolver link, observed 2026-08-12T18:16:33.565426Z

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source=arxiv_source observed=2026-08-12T18:16:33.565426Z digest=sha256:0fb5b8c14ecd14195c3905950e8eec9d997920ceed547eef31d1710a1b035b0c

Observation 004bc075-3ef4-4d13-88cf-dd2eafc11c56 · outbound

This paper cites LLML ingua: Compressing Prompts for Accelerated Inference of Large Language Models.

Mitigating Context Interference for Reliable and Efficient Search Agents LLML ingua: Compressing Prompts for Accelerated Inference of Large Language Models

Reference 40

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no resolver link, observed 2026-08-12T18:16:33.569678Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T18:16:33.569678Z digest=sha256:6329f9dd09576e83457fcd8a6638d8a54918c11f35b20a649af537d1ad9b3303

Observation 6acb082d-2499-4b80-b78b-68ed8746f713 · outbound

This paper cites 2025 , eprint=.

Mitigating Context Interference for Reliable and Efficient Search Agents 2025 , eprint=

Reference 41

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raw_fallback, observed 2026-08-12T18:16:35.121202Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-12T18:16:33.574025Z digest=sha256:e8f734ce7c24b660ad73ecbed62aff7d7c20f2cebf911f7ff67a1652687c11cc

Observation 66c1da45-a196-4755-b877-f3a028a83676 · outbound

This paper cites Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge.

Mitigating Context Interference for Reliable and Efficient Search Agents Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge

Reference 42

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source=arxiv_source observed=2026-08-12T18:16:33.578390Z digest=sha256:77af73fe8e81473b4ab38c6e9170e396f55b07209aba093753902d3452276a1c

Observation da5cf9e3-85a5-4b33-b176-f770d733771e · outbound

This paper cites Measuring Massive Multitask Language Understanding.

Mitigating Context Interference for Reliable and Efficient Search Agents Measuring Massive Multitask Language Understanding

Reference 43

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source=arxiv_source observed=2026-08-12T18:16:33.583251Z digest=sha256:a154bb0e40ddd71349cc68f7dccaa1370598e73772454b1fbafcb8660f5957fa

Observation 47df1f1c-38da-40c6-b283-a061dfa0bd30 · outbound

This paper cites Dense Passage Retrieval for Open-Domain Question Answering.

Mitigating Context Interference for Reliable and Efficient Search Agents Dense Passage Retrieval for Open-Domain Question Answering

Reference 44

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source=arxiv_source observed=2026-08-12T18:16:33.588152Z digest=sha256:e3b0c6062c95997c49a6c7c8e24443c6d2ccea86900e4de6a08d3b9a0e33717c

Observation 0dc1d092-2695-48f9-8f41-63bcc704bc14 · outbound

This paper cites Transactions of the Association for Computational Linguistics , volume=.

Mitigating Context Interference for Reliable and Efficient Search Agents Transactions of the Association for Computational Linguistics , volume=

Reference 45

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source=arxiv_source observed=2026-08-12T18:16:33.592489Z digest=sha256:51b1fcb7177ebe5eaacdea9d593d70be6a24c63d758cce734089d573fd0013d1

Observation f0cb137f-ba89-4137-9176-6f39a90042aa · outbound

This paper cites T rivia QA : A Large Scale Distantly Supervised Challenge Dataset for Reading Comprehension.

Mitigating Context Interference for Reliable and Efficient Search Agents T rivia QA : A Large Scale Distantly Supervised Challenge Dataset for Reading Comprehension

Reference 46

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source=arxiv_source observed=2026-08-12T18:16:33.596878Z digest=sha256:a738dbf9d2c59ec7946de41a574ea7830c739f6266fc12623052e1815296f86a

Observation 7b298dd5-6ae4-435f-a097-ba2b769d055a · outbound

This paper cites When Not to Trust Language Models: Investigating Effectiveness of Parametric and Non-Parametric Memories.

Mitigating Context Interference for Reliable and Efficient Search Agents When Not to Trust Language Models: Investigating Effectiveness of Parametric and Non-Parametric Memories

Reference 47

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source=arxiv_source observed=2026-08-12T18:16:33.601524Z digest=sha256:4af130a4fdfcf238c73e39dd426d9387aa7acaab2af6fae499baec1e2572c0ff

Observation e6a2bced-d36b-45f2-9125-44edf04a9a35 · outbound

This paper cites Proceedings of the 2013 conference on empirical methods in natural language processing , pages=.

Mitigating Context Interference for Reliable and Efficient Search Agents Proceedings of the 2013 conference on empirical methods in natural language processing , pages=

Reference 48

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source=arxiv_source observed=2026-08-12T18:16:33.606629Z digest=sha256:c264699cecb6f32447dedfa6d80382e161f971d274a5250b1232f82caa37fb7b

Observation c3674822-a7d9-44a1-9d90-e76c964604e4 · outbound

This paper cites H otpot QA : A Dataset for Diverse, Explainable Multi-hop Question Answering.

Mitigating Context Interference for Reliable and Efficient Search Agents H otpot QA : A Dataset for Diverse, Explainable Multi-hop Question Answering

Reference 49

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source=arxiv_source observed=2026-08-12T18:16:33.611054Z digest=sha256:79aaaeba8e9aa9e8b5716de02fcd16291f25205ee5cb8970707c46fd5e2e7d49

Observation 70341353-ff8e-448b-838a-b3663e16c950 · outbound

This paper cites Constructing A Multi-hop QA Dataset for Comprehensive Evaluation of Reasoning Steps.

Mitigating Context Interference for Reliable and Efficient Search Agents Constructing A Multi-hop QA Dataset for Comprehensive Evaluation of Reasoning Steps

Reference 50

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no resolver link, observed 2026-08-12T18:16:33.615374Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-12T18:16:33.615374Z digest=sha256:02e55ecffecda6cde7feed21c2e8f9b7a9bf0f10f65c700114d07c79f5409b99

Observation 9532162e-c083-4d31-872d-3b58290b04c5 · outbound

This paper cites Transactions of the Association for Computational Linguistics , volume=.

Mitigating Context Interference for Reliable and Efficient Search Agents Transactions of the Association for Computational Linguistics , volume=

Reference 51

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no resolver link, observed 2026-08-12T18:16:33.619699Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T18:16:33.619699Z digest=sha256:fbaf92fd38ec109469aeacfba09abd8a9742b730d26d87ea06bd6fe3628793b3

Observation 9f5c7b61-844c-483a-bff9-1e3e50b0c783 · outbound

This paper cites Measuring and Narrowing the Compositionality Gap in Language Models.

Mitigating Context Interference for Reliable and Efficient Search Agents Measuring and Narrowing the Compositionality Gap in Language Models

Reference 52

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no resolver link, observed 2026-08-12T18:16:33.623912Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T18:16:33.623912Z digest=sha256:444a75d8419fbfb3aa0c70566db8c05b07c7a7e32b776c35c4160ab2c2296a95

Observation 646d7239-ee64-4174-8e7d-a4275171a467 · outbound

This paper cites Transactions of the Association for Computational Linguistics , volume=.

Mitigating Context Interference for Reliable and Efficient Search Agents Transactions of the Association for Computational Linguistics , volume=

Reference 53

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no resolver link, observed 2026-08-12T18:16:33.628549Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T18:16:33.628549Z digest=sha256:33ba053d8df907bf6b32f20a277e419599c166f2297263cac51486ecb0f3af83

Observation 7f0f87ad-5d64-467a-84dd-0083bad3673c · outbound

This paper cites Multilingual Machine Translation with Large Language Models: Empirical Results and Analysis.

Mitigating Context Interference for Reliable and Efficient Search Agents Multilingual Machine Translation with Large Language Models: Empirical Results and Analysis

Reference 54

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no resolver link, observed 2026-08-12T18:16:33.633365Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T18:16:33.633365Z digest=sha256:7a7e65fce7f8ec718836bc05b66b22480f7b085664fbdb4a9a614355bfa88a2e

Observation e31f5425-7f82-40d5-8dd2-32d1bb8a0bad · outbound

This paper cites Transactions of the Association for Computational Linguistics , volume=.

Mitigating Context Interference for Reliable and Efficient Search Agents Transactions of the Association for Computational Linguistics , volume=

Reference 55

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no resolver link, observed 2026-08-12T18:16:33.638794Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T18:16:33.638794Z digest=sha256:c4c5e618a5b4dd21ce6478a3e2f6fdadf65855ea2185bc038570bc5b16ec9ba9

Observation ff6de9e2-3300-4811-a866-c5effd0a6060 · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

Mitigating Context Interference for Reliable and Efficient Search Agents Advances in Neural Information Processing Systems , volume=

Reference 56

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no resolver link, observed 2026-08-12T18:16:33.643308Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T18:16:33.643308Z digest=sha256:40743d0cde5f8b57add3df5366061ba2b7b3cb5847e7e0f47847fe88aed484f4

Observation d9ee6d1b-660d-467a-a1bb-06c04f6da2a6 · outbound

This paper cites 2017 , eprint=.

Mitigating Context Interference for Reliable and Efficient Search Agents 2017 , eprint=

Reference 57

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no resolver link, observed 2026-08-12T18:16:33.647503Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-12T18:16:33.647503Z digest=sha256:2d2c89d06ebdb499f7af9950979f2dafca254ac9a0ade3f89fe01b8099eb323c

Observation 31fec648-b023-43f8-a5bc-7ef948149ca2 · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

Mitigating Context Interference for Reliable and Efficient Search Agents DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 58

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no resolver link, observed 2026-08-12T18:16:33.651787Z

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source=arxiv_source observed=2026-08-12T18:16:33.651787Z digest=sha256:11a7736cd532885023db80824e85bac14cac43460fc94c24ff3bdd4019f84ef6

Observation 69d8f563-2267-4ed4-9117-929344a5173b · outbound

This paper cites arXiv preprint arXiv:2312.14925 , volume=.

Mitigating Context Interference for Reliable and Efficient Search Agents arXiv preprint arXiv:2312.14925 , volume=

Reference 59

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no resolver link, observed 2026-08-12T18:16:33.656453Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T18:16:33.656453Z digest=sha256:1f2d430f265183d4d36eb21d4d9e06b16908ae962bd6361259650e980a57f971

Observation b4a7bedc-a0e5-4fa2-8f13-eea0e4319319 · outbound

This paper cites Advances in neural information processing systems , volume=.

Mitigating Context Interference for Reliable and Efficient Search Agents Advances in neural information processing systems , volume=

Reference 60

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no resolver link, observed 2026-08-12T18:16:33.660626Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T18:16:33.660626Z digest=sha256:caa02b4b2f70769870c21ea933ab5b27f5f1bf65943b63a2a8dc57c2fe773024

Observation ac3195d9-b96e-4ed6-907f-6973ee9f9b6a · outbound

This paper cites Search-o1: Agentic Search-Enhanced Large Reasoning Models.

Mitigating Context Interference for Reliable and Efficient Search Agents Search-o1: Agentic Search-Enhanced Large Reasoning Models

Reference 61

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no resolver link, observed 2026-08-12T18:16:33.664862Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T18:16:33.664862Z digest=sha256:b416978bb6ba3aee8d669afa60f24f1983bbda55928e5583ccd1ad7770c9224c

Observation 918fa0d8-b605-4e99-a773-7c4fa7feb9ed · outbound

This paper cites Journal of Machine Learning Research , volume=.

Mitigating Context Interference for Reliable and Efficient Search Agents Journal of Machine Learning Research , volume=

Reference 62

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no resolver link, observed 2026-08-12T18:16:33.669372Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T18:16:33.669372Z digest=sha256:ab9ee1b36c04ac21aff9d2d53b0c47bdd15e2645091c7828a9fc1ac22c02d128

Observation bd022c56-f7ff-48d6-9fbf-9a63da9e5cda · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

Mitigating Context Interference for Reliable and Efficient Search Agents Advances in Neural Information Processing Systems , volume=

Reference 63

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no resolver link, observed 2026-08-12T18:16:33.673798Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T18:16:33.673798Z digest=sha256:3ec97728c6c4df89af283d4158f9d1104821c16f5b8b6d0e5a653bd79ebd6c7c

Observation 50de38bd-5748-4afe-a26f-a22277d188d9 · outbound

This paper cites OpenAI o1 System Card.

Mitigating Context Interference for Reliable and Efficient Search Agents OpenAI o1 System Card

Reference 64

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no resolver link, observed 2026-08-12T18:16:33.678896Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T18:16:33.678896Z digest=sha256:af74999078b99d6518cc6dcd461f679a4c204099f23f9dd2d246ff0c56de94d9

Observation ffe93b92-51b7-4cc8-9069-c620c690316b · outbound

This paper cites 2025 , eprint=.

Mitigating Context Interference for Reliable and Efficient Search Agents 2025 , eprint=

Reference 65

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no resolver link, observed 2026-08-12T18:16:33.683767Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-12T18:16:33.683767Z digest=sha256:dc6fb68e71c8ba52d0697cccd91993f5ab82abcb5f2ee0e737a72b5c0d2ddbda

Observation 3d7ddb45-f449-4866-a11e-713e60f359b1 · outbound

This paper cites The Llama 3 Herd of Models.

Mitigating Context Interference for Reliable and Efficient Search Agents The Llama 3 Herd of Models

Reference 66

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no resolver link, observed 2026-08-12T18:16:33.687954Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T18:16:33.687954Z digest=sha256:4bef478aacd16c8de87caebc2ba91f77d7260b978be2715fd133dd5d9fa8d2f0

Observation cb463df9-99cc-4631-ac8f-08dd1974121e · outbound

This paper cites A Survey of Large Language Models.

Mitigating Context Interference for Reliable and Efficient Search Agents A Survey of Large Language Models

Reference 67

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no resolver link, observed 2026-08-12T18:16:33.692689Z

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source=arxiv_source observed=2026-08-12T18:16:33.692689Z digest=sha256:8bbd597875882049c42a80ab2077164f5bcfbab7ee1800a88a1890226fe828d1

Observation 143e5e49-4018-454f-ad9e-2c9ec2be465f · outbound

This paper cites DeepSeek-Coder: When the Large Language Model Meets Programming -- The Rise of Code Intelligence.

Mitigating Context Interference for Reliable and Efficient Search Agents DeepSeek-Coder: When the Large Language Model Meets Programming -- The Rise of Code Intelligence

Reference 68

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no resolver link, observed 2026-08-12T18:16:33.697562Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T18:16:33.697562Z digest=sha256:8f44d9ed6d0a85299ee8708dac87ea8942502b3e07ec173df275f17ab7ee1829

Observation 209ffdec-36a8-435e-af87-d782b45e814d · outbound

This paper cites GPT-4 Technical Report.

Mitigating Context Interference for Reliable and Efficient Search Agents GPT-4 Technical Report

Reference 69

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no resolver link, observed 2026-08-12T18:16:33.703058Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T18:16:33.703058Z digest=sha256:4618f9b226022e860647cee926a4eb8ea45ebd9d376763a967eff9c7d55c4ec2

Observation f9e15d23-eb60-4174-a462-adf8c6318062 · outbound

This paper cites Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context.

Mitigating Context Interference for Reliable and Efficient Search Agents Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context

Reference 70

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no resolver link, observed 2026-08-12T18:16:33.707514Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T18:16:33.707514Z digest=sha256:357dd94c07c6b826a577f3c88a7d470f09623ba95738ded9616bd98ce709e64b

Observation 24702ffd-4042-4d23-945c-93fc1c5d38d4 · outbound

This paper cites Towards Reasoning in Large Language Models: A Survey.

Mitigating Context Interference for Reliable and Efficient Search Agents Towards Reasoning in Large Language Models: A Survey

Reference 71

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no resolver link, observed 2026-08-12T18:16:33.712300Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T18:16:33.712300Z digest=sha256:fcbe8aa1ac7af135183be0610a49d0adc05a7baacd1a6c68c511f9a66aec2951

Observation 3f42f2f0-743c-41fb-9e0d-64aea5e5b170 · outbound

This paper cites Siren's Song in the AI Ocean: A Survey on Hallucination in Large Language Models.

Mitigating Context Interference for Reliable and Efficient Search Agents Siren's Song in the AI Ocean: A Survey on Hallucination in Large Language Models

Reference 72

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no resolver link, observed 2026-08-12T18:16:33.716944Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T18:16:33.716944Z digest=sha256:1e9c51f3f5892daf9cd25cc902a5bfb72ac7c18350b950dee2b411ae56d3a373

Observation 43bdd3d0-cc98-4cb1-b7c9-5fb8cd208fcd · outbound

This paper cites Retrieval-Augmented Generation for Large Language Models: A Survey.

Mitigating Context Interference for Reliable and Efficient Search Agents Retrieval-Augmented Generation for Large Language Models: A Survey

Reference 73

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unresolved
no resolver link, observed 2026-08-12T18:16:33.721301Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T18:16:33.721301Z digest=sha256:693695c50d90728e31d69057bc7ecb08f98918cb1e043772f84c6311c65f1495

Observation a1ad8b99-287b-4710-a08f-2d459f8c2888 · outbound

This paper cites The Thirteenth International Conference on Learning Representations , year=.

Mitigating Context Interference for Reliable and Efficient Search Agents The Thirteenth International Conference on Learning Representations , year=

Reference 74

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verified fuzzy
raw_fallback, observed 2026-08-12T18:16:35.001797Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-12T18:16:33.725989Z digest=sha256:74624cd4cbf54cb7d2cf0ea2d4fe6338c2bd891d9a1c7b90d7546a774d6b79d9

Observation 602102cf-d77b-45c8-9663-710be2d0f6e7 · outbound

This paper cites ICLR , pages=.

Mitigating Context Interference for Reliable and Efficient Search Agents ICLR , pages=

Reference 75

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verified fuzzy
raw_fallback, observed 2026-08-12T18:16:34.986712Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-12T18:16:33.730257Z digest=sha256:fe8182fb1672f702f4d2a427179059061e880e48207dec12a8a5c326755ba473

Observation 557e7e0b-662e-491f-87d2-f176a7b120e1 · outbound

This paper cites 2024 , eprint=.

Mitigating Context Interference for Reliable and Efficient Search Agents 2024 , eprint=

Reference 76

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no resolver link, observed 2026-08-12T18:16:33.734621Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T18:16:33.734621Z digest=sha256:e17c7587c3030cd0d1fa388debd86ebbd89a90c5afb926984db2a77d26d76a6b

Observation 54fd1a4a-6700-453d-bfbc-528d5d561258 · outbound

This paper cites Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing , pages=.

Mitigating Context Interference for Reliable and Efficient Search Agents Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing , pages=

Reference 77

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no resolver link, observed 2026-08-12T18:16:33.739532Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T18:16:33.739532Z digest=sha256:eada3af0d672732d9b0c9cf761c7c58d161acdee3c0556476f556faaf01a6ecb

Observation f09d6a78-7426-413d-8e60-ad4f355264c9 · outbound

This paper cites International Conference on Learning Representations (ICLR) , year=.

Mitigating Context Interference for Reliable and Efficient Search Agents International Conference on Learning Representations (ICLR) , year=

Reference 78

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no resolver link, observed 2026-08-12T18:16:33.744309Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T18:16:33.744309Z digest=sha256:13e04458bc9ffd0d12d57da70e088df4a96cd4219c0ba2bd6fe4ab97167ba12d

Observation d71ef12b-b4d0-4250-9ced-3cae1084f90f · outbound

This paper cites SFT Memorizes, RL Generalizes: A Comparative Study of Foundation Model Post-training.

Mitigating Context Interference for Reliable and Efficient Search Agents SFT Memorizes, RL Generalizes: A Comparative Study of Foundation Model Post-training

Reference 79

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no resolver link, observed 2026-08-12T18:16:33.748891Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T18:16:33.748891Z digest=sha256:9b3ebb71c276f2e4b05fd887069a83d53303a01ae93d343a859a26934208e7a0

Observation b92fc760-2047-4299-940b-67da8185bfb0 · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

Mitigating Context Interference for Reliable and Efficient Search Agents Advances in Neural Information Processing Systems , volume=

Reference 80

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source=arxiv_source observed=2026-08-12T18:16:33.753971Z digest=sha256:a361fbf85e7c1f2a21a2aa043e892384bf42b4e867298f66f41bfc0dc2f20328

Observation 699ea819-5484-4ef6-809d-272ae399b080 · outbound

This paper cites 2025 , howpublished=.

Mitigating Context Interference for Reliable and Efficient Search Agents 2025 , howpublished=

Reference 81

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no resolver link, observed 2026-08-12T18:16:33.758353Z

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source=arxiv_source observed=2026-08-12T18:16:33.758353Z digest=sha256:2c21f28811721a3450c402455e779ed318f579e6d074faae4115868f5d2e1f0f

Observation a83e5819-6004-49ae-a167-0fb341f13f98 · outbound

This paper cites Journal of Cognitive Neuroscience , volume=.

Mitigating Context Interference for Reliable and Efficient Search Agents Journal of Cognitive Neuroscience , volume=

Reference 82

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no resolver link, observed 2026-08-12T18:16:33.763464Z

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source=arxiv_source observed=2026-08-12T18:16:33.763464Z digest=sha256:544ad22e36192a1a2b2a9673c0ee7fadd536f554477c0fc374f1d373f0ab6adc

Observation 13846a61-8f54-400f-870d-391e3a5809e2 · outbound

This paper cites RewardBench: Evaluating Reward Models for Language Modeling.

Mitigating Context Interference for Reliable and Efficient Search Agents RewardBench: Evaluating Reward Models for Language Modeling

Reference 83

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no resolver link, observed 2026-08-12T18:16:33.767717Z

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source=arxiv_source observed=2026-08-12T18:16:33.767717Z digest=sha256:7e52072c5b9d631e53cc0f142a13eea2968af2105211c6829f294d05fd9eaf34

Observation 50d7c78d-5e63-42fd-9ecc-cfb6e0faa0b9 · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

Mitigating Context Interference for Reliable and Efficient Search Agents Advances in Neural Information Processing Systems , volume=

Reference 84

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no resolver link, observed 2026-08-12T18:16:33.772152Z

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source=arxiv_source observed=2026-08-12T18:16:33.772152Z digest=sha256:6d7840d4557e2f4ef9966bf11690130786bd830f30668c4ee94733eb15a52635

Observation efa59d90-33e2-4324-975f-66910448a195 · outbound

This paper cites Machine learning , volume=.

Mitigating Context Interference for Reliable and Efficient Search Agents Machine learning , volume=

Reference 85

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no resolver link, observed 2026-08-12T18:16:33.776497Z

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source=arxiv_source observed=2026-08-12T18:16:33.776497Z digest=sha256:0640bc2506db64c9b1b2b2eff515c670d0d8fc508db91278dbf948a846c9414b

Observation d67fd567-1d95-466d-a40f-cf17ddd27df4 · outbound

This paper cites T1: Advancing Language Model Reasoning through Reinforcement Learning and Inference Scaling.

Mitigating Context Interference for Reliable and Efficient Search Agents T1: Advancing Language Model Reasoning through Reinforcement Learning and Inference Scaling

Reference 86

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no resolver link, observed 2026-08-12T18:16:33.781795Z

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source=arxiv_source observed=2026-08-12T18:16:33.781795Z digest=sha256:a79f21e09df88bb49db3d93b0c62807c14a46ad3ceea6f01f614ab1ddb196406

Observation f1bd855c-441d-4502-bb84-5fae174e5d1d · outbound

This paper cites Logic-RL: Unleashing LLM Reasoning with Rule-Based Reinforcement Learning.

Mitigating Context Interference for Reliable and Efficient Search Agents Logic-RL: Unleashing LLM Reasoning with Rule-Based Reinforcement Learning

Reference 87

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no resolver link, observed 2026-08-12T18:16:33.786704Z

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source=arxiv_source observed=2026-08-12T18:16:33.786704Z digest=sha256:9c917de3d03c1913c7ab7bcd1723b18f8e3720a18820d3e6dd39e81bcfdd9aab

Observation 0eae044d-bf32-423f-9d06-f6d5182eb4a1 · outbound

This paper cites Large Language Models are Better Reasoners with Self-Verification.

Mitigating Context Interference for Reliable and Efficient Search Agents Large Language Models are Better Reasoners with Self-Verification

Reference 88

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source=arxiv_source observed=2026-08-12T18:16:33.791240Z digest=sha256:9ceeeb1c95d43a55217353e401a23a2e24b6b6b5690a70643269e8603330bfd1

Observation 8646f9fd-30b8-4944-944e-c0c771bfdead · outbound

This paper cites Training Language Models to Self-Correct via Reinforcement Learning.

Mitigating Context Interference for Reliable and Efficient Search Agents Training Language Models to Self-Correct via Reinforcement Learning

Reference 89

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no resolver link, observed 2026-08-12T18:16:33.795783Z

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source=arxiv_source observed=2026-08-12T18:16:33.795783Z digest=sha256:84d1ac31d37300541e6e128f30dae290d9f8e89b46e20000e3b7bf6987652c2a

Observation dc011856-e21f-48e4-a0e0-6460583fbf94 · outbound

This paper cites Frontiers of Computer Science , volume=.

Mitigating Context Interference for Reliable and Efficient Search Agents Frontiers of Computer Science , volume=

Reference 90

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no resolver link, observed 2026-08-12T18:16:33.800381Z

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source=arxiv_source observed=2026-08-12T18:16:33.800381Z digest=sha256:b2bbb0af4cca289a59392c024b716b7add8a90dcc04ab15c4963ec57186f4b44

Observation 099d0c4e-7bc5-44a7-8594-09adbfdb8420 · outbound

This paper cites Inference Scaling for Long-Context Retrieval Augmented Generation.

Mitigating Context Interference for Reliable and Efficient Search Agents Inference Scaling for Long-Context Retrieval Augmented Generation

Reference 91

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source=arxiv_source observed=2026-08-12T18:16:33.804965Z digest=sha256:e433ee64cccb3c17c13c152cd161ab2e9064b90c99eeb2df494230bd6fa44ef9

Observation fb53e5ba-3694-40e2-8aa4-e570a08c6b19 · outbound

This paper cites HybridFlow: A Flexible and Efficient RLHF Framework.

Mitigating Context Interference for Reliable and Efficient Search Agents HybridFlow: A Flexible and Efficient RLHF Framework

Reference 92

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no resolver link, observed 2026-08-12T18:16:33.809513Z

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source=arxiv_source observed=2026-08-12T18:16:33.809513Z digest=sha256:216dd31355ea5eead950c1775f8061d74dae777f643ecf77e87145866f06b224

Observation 90965370-2de2-4b6d-9bdd-befd47f3c28b · outbound

This paper cites Re2G: Retrieve, Rerank, Generate.

Mitigating Context Interference for Reliable and Efficient Search Agents Re2G: Retrieve, Rerank, Generate

Reference 93

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no resolver link, observed 2026-08-12T18:16:33.814696Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-12T18:16:33.814696Z digest=sha256:0295439d4a936aabcc7b0c966af1d01c2c629e12c89af08278fd10bdd46fff91

Observation 7b09373a-fdfe-4b8d-b848-aba97217fb23 · outbound

This paper cites RetroLLM: Empowering Large Language Models to Retrieve Fine-grained Evidence within Generation.

Mitigating Context Interference for Reliable and Efficient Search Agents RetroLLM: Empowering Large Language Models to Retrieve Fine-grained Evidence within Generation

Reference 94

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no resolver link, observed 2026-08-12T18:16:33.819765Z

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source=arxiv_source observed=2026-08-12T18:16:33.819765Z digest=sha256:94d58b0fa1423cf8056d514113bf124832e12e18eab9418ee63dc54261ad72c5

Observation fbfb4954-6009-4ff5-a439-6648edbf07b9 · outbound

This paper cites Grounding by Trying: LLMs with Reinforcement Learning-Enhanced Retrieval.

Mitigating Context Interference for Reliable and Efficient Search Agents Grounding by Trying: LLMs with Reinforcement Learning-Enhanced Retrieval

Reference 95

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no resolver link, observed 2026-08-12T18:16:33.824591Z

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source=arxiv_source observed=2026-08-12T18:16:33.824591Z digest=sha256:0ada434ce1cb5eb5eedb683d49d13188e87f79bd6a804b7f4a83d81853130277

Observation a87c36fc-03e0-44c5-b0cb-976f8c4d17f2 · outbound

This paper cites 2024 , publisher=.

Mitigating Context Interference for Reliable and Efficient Search Agents 2024 , publisher=

Reference 96

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no resolver link, observed 2026-08-12T18:16:33.829688Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-12T18:16:33.829688Z digest=sha256:dc857d67812a96bbc182546b639f8bf68df7f58a8b455ed2ed3fb6c137ab1869

Observation c25b4e00-02be-4115-aad0-d5b960bc9a94 · outbound

This paper cites Large Language Models for Mathematical Reasoning: Progresses and Challenges.

Mitigating Context Interference for Reliable and Efficient Search Agents Large Language Models for Mathematical Reasoning: Progresses and Challenges

Reference 97

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source=arxiv_source observed=2026-08-12T18:16:33.833999Z digest=sha256:83d5173616b99f1d2ece69c1e42ba0e5bf46e4a7740fb29d43f09b14f7d9fa22

Observation 303e4caa-8853-4c3e-b6d2-7127eafcf06d · outbound

This paper cites 2025 , eprint=.

Mitigating Context Interference for Reliable and Efficient Search Agents 2025 , eprint=

Reference 98

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no resolver link, observed 2026-08-12T18:16:33.839374Z

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source=arxiv_source observed=2026-08-12T18:16:33.839374Z digest=sha256:6aabff5b11f098af3e1b965d37a837eb6257c3d6719c5b5b5d0f77427c83e6bd

Observation d9da4195-4aab-414c-b3c8-ed4f340a49d5 · outbound

This paper cites 2023 , eprint=.

Mitigating Context Interference for Reliable and Efficient Search Agents 2023 , eprint=

Reference 99

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no resolver link, observed 2026-08-12T18:16:33.843711Z

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source=arxiv_source observed=2026-08-12T18:16:33.843711Z digest=sha256:b242e890d3bab6a2e8fe4c2f245a72f055e2ef3c45906aa00875aa22cb1169fb

Observation fcbcc9a7-1548-4df0-b291-33b56156b256 · outbound

This paper cites Advances in Information Retrieval: 47th European Conference on Information Retrieval, ECIR 2025, Lucca, Italy, April 6–10, 2025, Proceedings, Part III , pages =.

Mitigating Context Interference for Reliable and Efficient Search Agents Advances in Information Retrieval: 47th European Conference on Information Retrieval, ECIR 2025, Lucca, Italy, April 6–10, 2025, Proceedings, Part III , pages =

Reference 100

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no resolver link, observed 2026-08-12T18:16:33.848023Z

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source=arxiv_source observed=2026-08-12T18:16:33.848023Z digest=sha256:2ab1de68ae9f4a46889e8fa931b7fa5b69f38f9f18bd898284dcc29acb5e58c2

Pith citing papers

No inbound Pith citation observations are available.