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Paper Citation Record · LEDGER

Lost in Context: Addressing Context Anxiety in Large Language Models

As of 21 August 2026, this Paper Citation Record lists 35 of 35 outbound references and 0 inbound Pith citation observations for arXiv:2607.21616.

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

pith.paper-citation-record.v1
2607.21616 v1

Coverage vector

measured 35 of 35 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-02T12:47:58.926171Z

measured 35 of 35 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+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

35 of 35 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved35
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e603fc31-7ad7-4ffb-bb76-4bb6b4658cdc · outbound

This paper cites The Illusion of Thinking: Understanding the Strengths and Limitations of Reasoning Models via the Lens of Problem Complexity.

Lost in Context: Addressing Context Anxiety in Large Language Models The Illusion of Thinking: Understanding the Strengths and Limitations of Reasoning Models via the Lens of Problem Complexity

Reference 1

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source=arxiv_source observed=2026-08-02T12:47:55.451697Z digest=sha256:f39253dd497b8d6a57d02570cbceb7bb79d619f1a89b617c88c7aaa31ded3fd9

Observation add9b4ab-9e3b-487f-b5bc-3d6225a88239 · outbound

This paper cites International Conference on Innovative Techniques and Applications of Artificial Intelligence , pages=.

Lost in Context: Addressing Context Anxiety in Large Language Models International Conference on Innovative Techniques and Applications of Artificial Intelligence , pages=

Reference 2

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source=arxiv_source observed=2026-08-02T12:47:55.591489Z digest=sha256:3f7865371ec84358f1e88812d195e2a97728b261ea5d01e5dfecb69a558bac34

Observation f738e4f0-9957-43e2-884b-9c2d88008fcf · outbound

This paper cites an unresolved cited work.

Lost in Context: Addressing Context Anxiety in Large Language Models Unresolved cited work

Reference 3

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source=arxiv_source observed=2026-08-02T12:47:55.731539Z digest=sha256:2353df35fb18d9b55df592f63492fd9bb1dac55289f23c7d5521b93b9acde465

Observation 87f29c34-682d-4da2-ae4b-3754ed4df73c · outbound

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

Lost in Context: Addressing Context Anxiety in Large Language Models Advances in Neural Information Processing Systems , author =

Reference 4

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source=arxiv_source observed=2026-08-02T12:47:55.850486Z digest=sha256:ce01b5e6e564a694acc6229e568178d4a06be75720c8e0848882536fe28d0e54

Observation 225599e4-698d-41aa-9eb2-588d679c940e · outbound

This paper cites Complexity-Based Prompting for Multi-Step Reasoning.

Lost in Context: Addressing Context Anxiety in Large Language Models Complexity-Based Prompting for Multi-Step Reasoning

Reference 5

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source=arxiv_source observed=2026-08-02T12:47:55.928790Z digest=sha256:04631d5973e553ca67a0bc414606100a19ce6e71a4f2af82a3a387d78ecd87de

Observation f6c29da8-e52d-4a07-9861-a16699faf07a · outbound

This paper cites Proceedings of the 61st annual meeting of the association for computational linguistics (volume 1: long papers) , author =.

Lost in Context: Addressing Context Anxiety in Large Language Models Proceedings of the 61st annual meeting of the association for computational linguistics (volume 1: long papers) , author =

Reference 6

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source=arxiv_source observed=2026-08-02T12:47:56.098148Z digest=sha256:baf7632ce4df3dc0dd9cff18cc897bb8fda632e6fed5f877860e581e4f0c6052

Observation 45e20dee-1210-47dc-9458-7b4f9ece64f5 · outbound

This paper cites an unresolved cited work.

Lost in Context: Addressing Context Anxiety in Large Language Models Unresolved cited work

Reference 7

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source=arxiv_source observed=2026-08-02T12:47:56.218154Z digest=sha256:0b8426789cd08e3a08472865e3a7ce1e99307b026f95f433ac28dc3aa87c685b

Observation 14f08006-1968-4052-8dcd-74d19b9a8000 · outbound

This paper cites Making Large Language Models Better Reasoners with Alignment.

Lost in Context: Addressing Context Anxiety in Large Language Models Making Large Language Models Better Reasoners with Alignment

Reference 8

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source=arxiv_source observed=2026-08-02T12:47:56.368969Z digest=sha256:b4261e94748ca9add8e24b47f5514980a6a1316a1b96f457c247f10bfb31148a

Observation a72a5236-ce9c-48a8-a5ed-49a132bbe674 · outbound

This paper cites Self-Consistency Improves Chain of Thought Reasoning in Language Models.

Lost in Context: Addressing Context Anxiety in Large Language Models Self-Consistency Improves Chain of Thought Reasoning in Language Models

Reference 9

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source=arxiv_source observed=2026-08-02T12:47:56.557023Z digest=sha256:056289e5acb4d7dac421d0f6552fb86bebb32bcb1f5629012bee8d34059f0a85

Observation 47042f68-8471-45c6-8553-02cf6ad08769 · outbound

This paper cites Same Task, More Tokens: the Impact of Input Length on the Reasoning Performance of Large Language Models.

Lost in Context: Addressing Context Anxiety in Large Language Models Same Task, More Tokens: the Impact of Input Length on the Reasoning Performance of Large Language Models

Reference 10

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source=arxiv_source observed=2026-08-02T12:47:56.693140Z digest=sha256:faefbf5bc40a1c923e85c087f3dccdd4cd8522fc4a699c2e430ad02f63fa4be3

Observation 26c06f18-2ff0-4d67-a436-12126d7a8c8a · outbound

This paper cites Stop Overthinking: A Survey on Efficient Reasoning for Large Language Models.

Lost in Context: Addressing Context Anxiety in Large Language Models Stop Overthinking: A Survey on Efficient Reasoning for Large Language Models

Reference 11

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source=arxiv_source observed=2026-08-02T12:47:56.831076Z digest=sha256:56738c56bd976d1c748c186baffd197b37b62a96f753e7484d371ca2a0b16bbe

Observation c00935c2-be0d-4d53-a17c-f742227fd017 · outbound

This paper cites Language Models (Mostly) Know What They Know.

Lost in Context: Addressing Context Anxiety in Large Language Models Language Models (Mostly) Know What They Know

Reference 12

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source=arxiv_source observed=2026-08-02T12:47:57.006842Z digest=sha256:a198c9ae8beec68dc6e4067b4f09c1b803043cf9ce1950ab166393113dba20fe

Observation 9feba7b7-1427-4109-abf2-c88113c857c2 · outbound

This paper cites Do Large Language Models Know What They Don't Know?.

Lost in Context: Addressing Context Anxiety in Large Language Models Do Large Language Models Know What They Don't Know?

Reference 13

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source=arxiv_source observed=2026-08-02T12:47:57.166973Z digest=sha256:9cdcbaf3892824df767ba8b4c31c7e4d2488cc3f6eb22eb780e07b70b35c4410

Observation 08e1b9cd-2a12-4165-8f2f-09e1474f167f · outbound

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

Lost in Context: Addressing Context Anxiety in Large Language Models Advances in Neural Information Processing Systems , author =

Reference 14

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source=arxiv_source observed=2026-08-02T12:47:57.338025Z digest=sha256:7bd2ebf0b408a525f9f7b15c151b2b7295da796e11562237feb86063c4579d7e

Observation fa14a611-bdec-4659-93f0-44914938e780 · outbound

This paper cites and Lin, Kevin and Hewitt, John and Paranjape, Ashwin and Bevilacqua, Michele and Petroni, Fabio and Liang, Percy , year =.

Lost in Context: Addressing Context Anxiety in Large Language Models and Lin, Kevin and Hewitt, John and Paranjape, Ashwin and Bevilacqua, Michele and Petroni, Fabio and Liang, Percy , year =

Reference 15

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source=arxiv_source observed=2026-08-02T12:47:57.479913Z digest=sha256:b5d9bb51e19cd9bab1a6bcb4d6de19aec03c9b23300934ab61ef54d9035bf1a0

Observation a67faf4e-332e-4931-a36b-593d66ef0fc1 · outbound

This paper cites Long-context LLMs Struggle with Long In-context Learning.

Lost in Context: Addressing Context Anxiety in Large Language Models Long-context LLMs Struggle with Long In-context Learning

Reference 16

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source=arxiv_source observed=2026-08-02T12:47:57.566012Z digest=sha256:78b7985ba1727c628e1124266cccfca268dd21afabe0c072b0f811a63b0f55cc

Observation 6fc24d97-cece-438f-99ba-c3213c647b3e · outbound

This paper cites Least-to-Most Prompting Enables Complex Reasoning in Large Language Models.

Lost in Context: Addressing Context Anxiety in Large Language Models Least-to-Most Prompting Enables Complex Reasoning in Large Language Models

Reference 17

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source=arxiv_source observed=2026-08-02T12:47:57.613368Z digest=sha256:ac49477c0cbfc69d22c69badb9e99b5464bfd64f8a62c1f6e69236ab4082d6b5

Observation 9a5f9c8f-a7bd-482b-ad7c-5bb7318f7b49 · outbound

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

Lost in Context: Addressing Context Anxiety in Large Language Models Advances in Neural Information Processing Systems , author =

Reference 18

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source=arxiv_source observed=2026-08-02T12:47:57.666969Z digest=sha256:725f882afedf847c2cb4e0b83329083db58c11f654995c1ee3723b0e47a6e596

Observation 391433c1-deca-49e6-8250-5e0890fceea2 · outbound

This paper cites an unresolved cited work.

Lost in Context: Addressing Context Anxiety in Large Language Models Unresolved cited work

Reference 19

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source=arxiv_source observed=2026-08-02T12:47:57.721144Z digest=sha256:6c9d2d290b600bdfd81c525b38cc073a91508d8f0977dd7c150493ada28701ae

Observation 1c58047a-70ed-4607-b4df-f96796036a38 · outbound

This paper cites Emergent Abilities of Large Language Models.

Lost in Context: Addressing Context Anxiety in Large Language Models Emergent Abilities of Large Language Models

Reference 20

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source=arxiv_source observed=2026-08-02T12:47:57.803126Z digest=sha256:30917d11057a672f44dcb64ce0dc8e67de0594ef44465343370efdfc67313ea0

Observation e53f3272-8671-4696-9fa5-a69e72636733 · outbound

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

Lost in Context: Addressing Context Anxiety in Large Language Models Advances in Neural Information Processing Systems , author =

Reference 21

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source=arxiv_source observed=2026-08-02T12:47:57.878435Z digest=sha256:daae7421b8b1659ff62d1a88dda998221982f2bf469c6145b2b8d9b4108a9147

Observation 4dffcd04-04c2-4e20-82e3-1614d55cebbe · outbound

This paper cites an unresolved cited work.

Lost in Context: Addressing Context Anxiety in Large Language Models Unresolved cited work

Reference 22

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source=arxiv_source observed=2026-08-02T12:47:57.960942Z digest=sha256:803aa0b20175b7d32f826dcf447ac7bcf45f2d28e2b1a45b61af6e9a84d2969a

Observation 2446cfc7-41b7-4021-b3b7-5193d4e4144f · outbound

This paper cites Emergent Abilities in Large Language Models: A Survey.

Lost in Context: Addressing Context Anxiety in Large Language Models Emergent Abilities in Large Language Models: A Survey

Reference 23

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source=arxiv_source observed=2026-08-02T12:47:58.037631Z digest=sha256:7b71102e15afe8a68df5c9a7173679ece257dce5ab707d42dbb4160858da98e0

Observation a0e17be7-ce5d-43e5-bc6c-d8f0632557e1 · outbound

This paper cites and Lu, Hongjing , month = sep, year =.

Lost in Context: Addressing Context Anxiety in Large Language Models and Lu, Hongjing , month = sep, year =

Reference 24

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source=arxiv_source observed=2026-08-02T12:47:58.098173Z digest=sha256:b8a5105835996cc7565e9a6137a05eb43b37fcacacd1fbfc5d250c407b63917d

Observation 4f244680-10c5-4ad9-8687-bdf61f5d0043 · outbound

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

Lost in Context: Addressing Context Anxiety in Large Language Models DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 25

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source=arxiv_source observed=2026-08-02T12:47:58.160741Z digest=sha256:affe69f7ba1e7e33820a9cb3fa28f5381efb7c9af1a0f5b5e7040a40575c3e67

Observation 54d54743-56a3-4096-8081-c979fb16d7d7 · outbound

This paper cites Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities.

Lost in Context: Addressing Context Anxiety in Large Language Models Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities

Reference 26

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source=arxiv_source observed=2026-08-02T12:47:58.218190Z digest=sha256:4cd5897749e5534f649b8da3039ec1ac0b8438257ba9b6c802f3306cfa9b14ee

Observation 54a0bab2-55fb-473f-9ced-54a353dbad71 · outbound

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

Lost in Context: Addressing Context Anxiety in Large Language Models Advances in Neural Information Processing Systems , author =

Reference 27

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no resolver link, observed 2026-08-02T12:47:58.311566Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T12:47:58.311566Z digest=sha256:36152aa83946338623a556785feb7bd406db27d8694aaf12634d1caa87228422

Observation 4e13de07-c696-42de-b8d9-8ea5ccffb2e5 · outbound

This paper cites an unresolved cited work.

Lost in Context: Addressing Context Anxiety in Large Language Models Unresolved cited work

Reference 28

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no resolver link, observed 2026-08-02T12:47:58.362065Z

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source=arxiv_source observed=2026-08-02T12:47:58.362065Z digest=sha256:51b0308713321eb768d822b1d9be23db76d02776556efdb56274b789d3920683

Observation 62b1917c-548b-450f-96ae-fcb8dc5fefac · outbound

This paper cites Batch Calibration: Rethinking Calibration for In-Context Learning and Prompt Engineering.

Lost in Context: Addressing Context Anxiety in Large Language Models Batch Calibration: Rethinking Calibration for In-Context Learning and Prompt Engineering

Reference 29

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T12:47:58.423957Z digest=sha256:99185ace8dc9193c400152d15b732f571541a2c0b5183a061fd6d4b5b76c437b

Observation 5bb38ea1-1827-47a8-b5a3-a1ec120ad391 · outbound

This paper cites an unresolved cited work.

Lost in Context: Addressing Context Anxiety in Large Language Models Unresolved cited work

Reference 30

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T12:47:58.462729Z digest=sha256:2cda4dcfde5346cd610d95847bf180b649b959b8942db859e319b17b34557696

Observation 0d37f54b-eb7d-471a-93ce-bbb197359bba · outbound

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

Lost in Context: Addressing Context Anxiety in Large Language Models Advances in Neural Information Processing Systems , author =

Reference 31

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no resolver link, observed 2026-08-02T12:47:58.541007Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T12:47:58.541007Z digest=sha256:c5b2e068541304b892e7dea9bed5ed58cf8a82e6ebc94a977cfc401c7d7a20a3

Observation 9e8faf8b-f661-49a4-bb23-5ae249d2e1b4 · outbound

This paper cites Between Underthinking and Overthinking: An Empirical Study of Reasoning Length and correctness in LLMs.

Lost in Context: Addressing Context Anxiety in Large Language Models Between Underthinking and Overthinking: An Empirical Study of Reasoning Length and correctness in LLMs

Reference 32

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source=arxiv_source observed=2026-08-02T12:47:58.635091Z digest=sha256:cd1d7467d560055abd1afa83b5031030157a713d6eb987e5f50a43b9cc02a143

Observation a9af5955-e212-4026-b95e-f12cf15ef2f9 · outbound

This paper cites an unresolved cited work.

Lost in Context: Addressing Context Anxiety in Large Language Models Unresolved cited work

Reference 33

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T12:47:58.760735Z digest=sha256:a8c7d51220ed2ad0197c496891eaa7e9b88a7eb44223bbb7777bdbece53a40c3

Observation ad31b757-69b8-42fb-a643-302436f41603 · outbound

This paper cites Rebuilding Devin for Claude Sonnet 4.5: Lessons and Challenges , date =.

Lost in Context: Addressing Context Anxiety in Large Language Models Rebuilding Devin for Claude Sonnet 4.5: Lessons and Challenges , date =

Reference 34

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source=arxiv_source observed=2026-08-02T12:47:58.862901Z digest=sha256:8d7906caad1972d492a261e83143608b9b0509be0b9f46a41952be7198c448eb

Observation b3f464ee-fcbd-40fe-81f3-ccd55feb7105 · outbound

This paper cites gpt-oss-120b & gpt-oss-20b Model Card.

Lost in Context: Addressing Context Anxiety in Large Language Models gpt-oss-120b & gpt-oss-20b Model Card

Reference 35

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no resolver link, observed 2026-08-02T12:47:58.926171Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T12:47:58.926171Z digest=sha256:56ae0d5bb4505bf3da92f401d3c018ce5ae3032896c9b9196e30901336124bf3

Pith citing papers

No inbound Pith citation observations are available.