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Paper Citation Record · LEDGER

Boosting Long-Context Management via Query-Guided Activation Refilling

As of 13 August 2026, this Paper Citation Record lists 45 of 45 outbound references and 0 inbound Pith citation observations for arXiv:2412.12486.

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

pith.paper-citation-record.v1
2412.12486 v3

Coverage vector

measured 45 of 45 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T14:07:31.308792Z

measured 45 of 45 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+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

45 of 45 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved44
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d5756cf8-6cb5-4841-ac43-39ad09c8bf35 · outbound

This paper cites an unresolved cited work.

Boosting Long-Context Management via Query-Guided Activation Refilling Unresolved cited work

Reference 1

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no resolver link, observed 2026-08-11T14:07:30.796019Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T14:07:30.796019Z digest=sha256:a3707579ff9d90a719e6ae61b0a8cdea67bfe7861020b343e3d15d8378be0f68

Observation c2fa1ab9-4d70-45d7-a156-b93eb5a40b11 · outbound

This paper cites RQ-RAG: Learning to Refine Queries for Retrieval Augmented Generation.

Boosting Long-Context Management via Query-Guided Activation Refilling RQ-RAG: Learning to Refine Queries for Retrieval Augmented Generation

Reference 2

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source=arxiv_source observed=2026-08-11T14:07:30.803008Z digest=sha256:e9b9a9cf95db45fff2f6b4e20008c04621b2cfb043ae880f750ea68a027d7aa2

Observation d596f397-6e98-4653-a803-eda1461e19ee · outbound

This paper cites C-Pack: Packed Resources For General Chinese Embeddings.

Boosting Long-Context Management via Query-Guided Activation Refilling C-Pack: Packed Resources For General Chinese Embeddings

Reference 3

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source=arxiv_source observed=2026-08-11T14:07:30.810701Z digest=sha256:8f1d286c7f99fb0e9c7f23b7b9f92c2c5a905893dd20c098a0b89ab228a00135

Observation 5062737f-45c8-4881-a2fe-9cc870f25f34 · outbound

This paper cites Extending Context Window of Large Language Models via Positional Interpolation.

Boosting Long-Context Management via Query-Guided Activation Refilling Extending Context Window of Large Language Models via Positional Interpolation

Reference 4

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source=arxiv_source observed=2026-08-11T14:07:30.816368Z digest=sha256:d3bc73f0e1173ce8b1e91802e029788a41418257f282cc3052dc320469eaef21

Observation fb78acac-f848-40d5-81d0-35494763ad52 · outbound

This paper cites LongLoRA: Efficient Fine-tuning of Long-Context Large Language Models.

Boosting Long-Context Management via Query-Guided Activation Refilling LongLoRA: Efficient Fine-tuning of Long-Context Large Language Models

Reference 5

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source=arxiv_source observed=2026-08-11T14:07:30.822152Z digest=sha256:9c3476adaede89c617bb071b036fba86fe559a6026b586203b8c2e40aed8f796

Observation 7e72fc55-839a-46f4-a7bd-ecfb6c51ab51 · outbound

This paper cites an unresolved cited work.

Boosting Long-Context Management via Query-Guided Activation Refilling Unresolved cited work

Reference 6

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T14:07:30.827725Z digest=sha256:194b4bf7692c0a65f17bb8e97c8f5b24a992af58c4412e68b94a41627044f204

Observation 94910628-d995-495a-a8f2-6d8a2a61c1cc · outbound

This paper cites A Survey on Long Text Modeling with Transformers.

Boosting Long-Context Management via Query-Guided Activation Refilling A Survey on Long Text Modeling with Transformers

Reference 7

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source=arxiv_source observed=2026-08-11T14:07:30.833914Z digest=sha256:af537ed14a997a7c2d59da0ca95a646fc7a7c0874d163344cd325abe136f3a91

Observation 2c746991-d25b-4ed3-a803-3f984fdcd1f9 · outbound

This paper cites Data Engineering for Scaling Language Models to 128K Context.

Boosting Long-Context Management via Query-Guided Activation Refilling Data Engineering for Scaling Language Models to 128K Context

Reference 8

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source=arxiv_source observed=2026-08-11T14:07:30.839439Z digest=sha256:d2688345c9a3b782c8ffc48da5a63e11da695e8d293405af9688b1a99780e9ac

Observation 348de7ef-059d-4ac5-b3ad-04811659b1e0 · outbound

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

Boosting Long-Context Management via Query-Guided Activation Refilling Retrieval-Augmented Generation for Large Language Models: A Survey

Reference 9

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source=arxiv_source observed=2026-08-11T14:07:30.845107Z digest=sha256:f56ae6d3cdb3d5d3cca9daf2afe4a9b3897222bbe3d435eed6d855e2c7e6e71d

Observation abbe4675-f676-48a5-a811-5f93e6048a41 · outbound

This paper cites an unresolved cited work.

Boosting Long-Context Management via Query-Guided Activation Refilling Unresolved cited work

Reference 10

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source=arxiv_source observed=2026-08-11T14:07:30.850962Z digest=sha256:a630e5e5e10ef4a281eff232ca123d99b09945e9fb58d1e4ba15e99897035afa

Observation 117ea9d5-a022-4e3d-b118-60286fc7f7ba · outbound

This paper cites MInference 1.0: Accelerating Pre-filling for Long-Context LLMs via Dynamic Sparse Attention.

Boosting Long-Context Management via Query-Guided Activation Refilling MInference 1.0: Accelerating Pre-filling for Long-Context LLMs via Dynamic Sparse Attention

Reference 11

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source=arxiv_source observed=2026-08-11T14:07:30.856237Z digest=sha256:0386e0cbde73df96840f85fa42fff478fa858b9021e0357a2ee1d863d569d1ee

Observation d99ba022-6402-48d9-996e-a566aa327cec · outbound

This paper cites LLM Maybe LongLM: Self-Extend LLM Context Window Without Tuning.

Boosting Long-Context Management via Query-Guided Activation Refilling LLM Maybe LongLM: Self-Extend LLM Context Window Without Tuning

Reference 12

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source=arxiv_source observed=2026-08-11T14:07:30.862414Z digest=sha256:e35aad6e265c9ddfd1c217a077dc157ee858077ce37ae0e48d1e0bc66980134e

Observation 670cd6bb-ff30-4eb3-b59c-e132a671a960 · outbound

This paper cites an unresolved cited work.

Boosting Long-Context Management via Query-Guided Activation Refilling Unresolved cited work

Reference 13

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no resolver link, observed 2026-08-11T14:07:30.868984Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T14:07:30.868984Z digest=sha256:b86226538e6def93786b8b6363c441de82a5c3be502937a25b194a3faa432b80

Observation 1550e82d-6182-4f72-8c54-1946ae206d10 · outbound

This paper cites Canny, and Ian Fischer.

Boosting Long-Context Management via Query-Guided Activation Refilling Canny, and Ian Fischer

Reference 14

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source=arxiv_source observed=2026-08-11T14:07:30.874307Z digest=sha256:0fa01790a8d0239fd08f541effab04bfc88417e7e0332c36d39b634026b2ac1d

Observation a47141d5-2607-46f4-97e7-1c84516d3afb · outbound

This paper cites SnapKV: LLM Knows What You are Looking for Before Generation.

Boosting Long-Context Management via Query-Guided Activation Refilling SnapKV: LLM Knows What You are Looking for Before Generation

Reference 15

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source=arxiv_source observed=2026-08-11T14:07:30.882518Z digest=sha256:c6804a694246542c835789f15a8c20f838f6a3eef5ac4f5bd32b0d77e179ce4d

Observation fd3f468b-47e0-444f-9255-57b15ef05b62 · outbound

This paper cites an unresolved cited work.

Boosting Long-Context Management via Query-Guided Activation Refilling Unresolved cited work

Reference 16

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-11T14:07:30.888705Z digest=sha256:bfef3341a23e97583f6908b6e740af60dbdf5a8a69f0b27bac47f1f142d62a02

Observation b067b4fd-d48b-4a87-ade3-8b79dd6b4e9b · outbound

This paper cites an unresolved cited work.

Boosting Long-Context Management via Query-Guided Activation Refilling Unresolved cited work

Reference 17

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-11T14:07:30.895267Z digest=sha256:c6f7a97aad9e673bdfa8f06e8e83704b134a92ae4e6ff317dda856382f7145d1

Observation f4cd89ea-cc76-43e4-bced-dbb97510b723 · outbound

This paper cites The Llama 3 Herd of Models.

Boosting Long-Context Management via Query-Guided Activation Refilling The Llama 3 Herd of Models

Reference 18

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source=arxiv_source observed=2026-08-11T14:07:30.901990Z digest=sha256:4b1280d2fb42f76742fef5093304bab2e6615da8e55fb7b8b3a49dab233ed458

Observation c490bd3a-e49a-4c24-a0da-9377ac82f219 · outbound

This paper cites an unresolved cited work.

Boosting Long-Context Management via Query-Guided Activation Refilling Unresolved cited work

Reference 19

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source=arxiv_source observed=2026-08-11T14:07:30.908711Z digest=sha256:904dc443ed23cd8a1c36051c80d1b7478c0fed552d0c022950b697d65cb7fcb7

Observation edb95490-b8ca-4112-8496-d47bf4dc60c6 · outbound

This paper cites an unresolved cited work.

Boosting Long-Context Management via Query-Guided Activation Refilling Unresolved cited work

Reference 20

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source=arxiv_source observed=2026-08-11T14:07:30.915528Z digest=sha256:a348394620bf53b578ddee030d79e553e812c2ab3737214ff00e06ed5b7b8dce

Observation 4e092c1b-4d59-489c-9e69-a26262982ad4 · outbound

This paper cites an unresolved cited work.

Boosting Long-Context Management via Query-Guided Activation Refilling Unresolved cited work

Reference 21

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source=arxiv_source observed=2026-08-11T14:07:30.922667Z digest=sha256:56d49657f1022a98db90dec58b383cab5747183a5cb82a26cc3d995cdfa00898

Observation 22745c84-de97-4cbb-8832-bd08e3665663 · outbound

This paper cites an unresolved cited work.

Boosting Long-Context Management via Query-Guided Activation Refilling Unresolved cited work

Reference 22

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source=arxiv_source observed=2026-08-11T14:07:30.932171Z digest=sha256:33f301ffe44a2430e21ce9866917b368c97969a6fc68160f70263be92e148be6

Observation e379ff33-82bc-4a6d-a8a7-60c3b75a1ef6 · outbound

This paper cites an unresolved cited work.

Boosting Long-Context Management via Query-Guided Activation Refilling Unresolved cited work

Reference 23

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-11T14:07:30.939338Z digest=sha256:8466293ad41eca1adca74fb2741e527e183b61ca03e933a52283a6fd1c4576f8

Observation ca403ca9-5a58-4b65-99e3-ed5fbbcfdaa2 · outbound

This paper cites Are Long-LLMs A Necessity For Long-Context Tasks?.

Boosting Long-Context Management via Query-Guided Activation Refilling Are Long-LLMs A Necessity For Long-Context Tasks?

Reference 24

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source=arxiv_source observed=2026-08-11T14:07:30.947173Z digest=sha256:06cf5acb275af6f96cb8096b7344d55ecdfc498f93cca36f20bb1fdac3f1bae9

Observation 2f8df88e-9299-4bb6-be5f-db58f3769894 · outbound

This paper cites an unresolved cited work.

Boosting Long-Context Management via Query-Guided Activation Refilling Unresolved cited work

Reference 25

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source=arxiv_source observed=2026-08-11T14:07:30.953731Z digest=sha256:b84cbe3ead49141acf1e1b6a19f947ad48241a5da4631014f34ac7353aa773e2

Observation b721e4ff-4184-4d0e-8a10-a35013ea6664 · outbound

This paper cites an unresolved cited work.

Boosting Long-Context Management via Query-Guided Activation Refilling Unresolved cited work

Reference 26

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-11T14:07:30.959605Z digest=sha256:79507f76706803e140a01ecf42f32cfb4400c39dbeef6c83b67b10fc40aa3104

Observation 964256da-758c-404e-9b25-85597bcc606e · outbound

This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.

Boosting Long-Context Management via Query-Guided Activation Refilling Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 27

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source=arxiv_source observed=2026-08-11T14:07:31.189130Z digest=sha256:08fb9c3c577a39ee2b3ad9ff70a42ae7eea89d3690b50b0f0e6f76f8cc5bc7b1

Observation f6b7f7b4-2685-4bfe-b09e-eaccf3b040b1 · outbound

This paper cites an unresolved cited work.

Boosting Long-Context Management via Query-Guided Activation Refilling Unresolved cited work

Reference 28

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source=arxiv_source observed=2026-08-11T14:07:31.198655Z digest=sha256:139deeb3e17268c9a70d32793a439bcfc7cfa3f93717af9ca10486b887551097

Observation 031efeec-351d-4252-8f74-99a15b97b361 · outbound

This paper cites Attention Is All You Need.

Boosting Long-Context Management via Query-Guided Activation Refilling Attention Is All You Need

Reference 29

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source=arxiv_source observed=2026-08-11T14:07:31.206684Z digest=sha256:b91efde47d75aae9addba169b0ad878ac63cc3ba12f8b64a4def0d9ac59079b7

Observation 0f3a7618-78e1-4b55-b4c0-12458db556f8 · outbound

This paper cites Efficient Streaming Language Models with Attention Sinks.

Boosting Long-Context Management via Query-Guided Activation Refilling Efficient Streaming Language Models with Attention Sinks

Reference 30

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source=arxiv_source observed=2026-08-11T14:07:31.215786Z digest=sha256:20993e41ff41797cfe23e81853baa3393d63bb106a7b73e51a8af41f708c8d54

Observation 85137d0b-12c6-4013-96a8-9331b7ad75e5 · outbound

This paper cites an unresolved cited work.

Boosting Long-Context Management via Query-Guided Activation Refilling Unresolved cited work

Reference 31

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source=arxiv_source observed=2026-08-11T14:07:31.221916Z digest=sha256:19eea8add0b96fd064824242f610bc5f9ffe0739a700af4ed9059ccef66340f1

Observation fe21a2f4-cbb9-481b-bf5c-6d4b21c769ec · outbound

This paper cites Retrieval meets Long Context Large Language Models.

Boosting Long-Context Management via Query-Guided Activation Refilling Retrieval meets Long Context Large Language Models

Reference 32

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source=arxiv_source observed=2026-08-11T14:07:31.228551Z digest=sha256:ab69af546ea8531e8c7b6091092ea94bf26921e869e5c2478e81792fe95995bf

Observation 31210081-cf88-41d5-8cce-c27c0bf56c56 · outbound

This paper cites ThinK: Thinner Key Cache by Query-Driven Pruning.

Boosting Long-Context Management via Query-Guided Activation Refilling ThinK: Thinner Key Cache by Query-Driven Pruning

Reference 33

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source=arxiv_source observed=2026-08-11T14:07:31.234910Z digest=sha256:2ad82c4353cbf5856e8fbd5e09a72e40a5eac7ca10162a7dea0800ae87507bb0

Observation 9483080e-209d-4a5d-97cf-504012a3c744 · outbound

This paper cites Qwen2 Technical Report.

Boosting Long-Context Management via Query-Guided Activation Refilling Qwen2 Technical Report

Reference 34

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source=arxiv_source observed=2026-08-11T14:07:31.240863Z digest=sha256:513c1eea8e617437394c8ad5484634f78398becc9c793b630f0e472618d4f6be

Observation 1451a398-d7b8-456e-b98c-fe64cfd2367a · outbound

This paper cites Theoretical Insights into Fine-Tuning Attention Mechanism: Generalization and Optimization.

Boosting Long-Context Management via Query-Guided Activation Refilling Theoretical Insights into Fine-Tuning Attention Mechanism: Generalization and Optimization

Reference 35

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source=arxiv_source observed=2026-08-11T14:07:31.246465Z digest=sha256:2eb9b4373a0462ea7a48bad317fa6536c203961afb5f84f1a7c748a4a79a35d8

Observation e16488d5-e3c3-4409-86ab-23844b81acac · outbound

This paper cites CompAct: Compressing Retrieved Documents Actively for Question Answering.

Boosting Long-Context Management via Query-Guided Activation Refilling CompAct: Compressing Retrieved Documents Actively for Question Answering

Reference 36

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source=arxiv_source observed=2026-08-11T14:07:31.251479Z digest=sha256:8972ce5eafc46a36bbcd249a3bf8a4c08e5ff4d5c901f6a70b8c623984ce4074

Observation b8b82ffd-f19d-401c-919e-0b4d568b3da7 · outbound

This paper cites Long Context Compression with Activation Beacon.

Boosting Long-Context Management via Query-Guided Activation Refilling Long Context Compression with Activation Beacon

Reference 37

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source=arxiv_source observed=2026-08-11T14:07:31.257445Z digest=sha256:8bddf5a43a1d92c4f6177e1f325f685759b5a9ee3f6ccd2be22a40b3ce2f1ecf

Observation a1f1f576-9680-41d9-9b9e-e4c689ba0d0a · outbound

This paper cites Extending Llama-3's Context Ten-Fold Overnight.

Boosting Long-Context Management via Query-Guided Activation Refilling Extending Llama-3's Context Ten-Fold Overnight

Reference 38

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source=arxiv_source observed=2026-08-11T14:07:31.263104Z digest=sha256:6a1f672952de7266f4dc7875acef21bda19c73cf6bde0cd5ee688a4349834574

Observation b3fe3d90-8da9-4ee8-95b4-7f690c991efe · outbound

This paper cites an unresolved cited work.

Boosting Long-Context Management via Query-Guided Activation Refilling Unresolved cited work

Reference 39

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T14:07:31.269990Z digest=sha256:5081c131c463d480bacd807638a469e18a0a88328fa193cffa62fc5642e6ce96

Observation b5693a9c-4947-45b8-973d-8bc2bc88a4c7 · outbound

This paper cites H$_2$O: Heavy-Hitter Oracle for Efficient Generative Inference of Large Language Models.

Boosting Long-Context Management via Query-Guided Activation Refilling H$_2$O: Heavy-Hitter Oracle for Efficient Generative Inference of Large Language Models

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-11T14:07:31.278377Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T14:07:31.278377Z digest=sha256:06b2e3010405897ef58111106974b732c6255eebcc8f4d766e72278c1deed3b6

Observation f5512818-66de-4087-889b-0c0cc5463a4f · outbound

This paper cites A Survey of Large Language Models.

Boosting Long-Context Management via Query-Guided Activation Refilling A Survey of Large Language Models

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-11T14:07:31.285000Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T14:07:31.285000Z digest=sha256:87ec39ce7e1ce2def8c16f54f2aacf1bed3af4fe1d3ad1120ec137692d2c9204

Observation 6268a8f2-c23d-4d98-be0a-51d289a9c690 · outbound

This paper cites Trustworthiness in Retrieval-Augmented Generation Systems: A Survey.

Boosting Long-Context Management via Query-Guided Activation Refilling Trustworthiness in Retrieval-Augmented Generation Systems: A Survey

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-11T14:07:31.290994Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T14:07:31.290994Z digest=sha256:e1ca1b9a2e6a963d86688d6c4234c0f048885e46fb01d22573c1bdd114f12d7b

Observation a80b76f3-cce6-4030-b062-a58e58a6e041 · outbound

This paper cites an unresolved cited work.

Boosting Long-Context Management via Query-Guided Activation Refilling Unresolved cited work

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-11T14:07:31.296963Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T14:07:31.296963Z digest=sha256:ea0390fe56b5ac764cbf3ad3ee62562a65f759385916fbe9e15c2bc1342fd991

Observation 623d48b5-4767-4f6b-a8bb-f63a174f63fb · outbound

This paper cites online" 'onlinestring :=.

Boosting Long-Context Management via Query-Guided Activation Refilling online" 'onlinestring :=

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-11T14:07:31.303037Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T14:07:31.303037Z digest=sha256:17f67c77433a420b670bca3c96bbd6b10aad15300ea3bbf86b5307be66258949

Observation df77f927-e749-4e90-9714-e7d028196d47 · outbound

This paper cites write newline.

Boosting Long-Context Management via Query-Guided Activation Refilling write newline

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-11T14:07:31.308792Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T14:07:31.308792Z digest=sha256:f7047d855ee7149a255f450e6613518e268a28e9255a2caaa947f118ad77355e

Pith citing papers

No inbound Pith citation observations are available.