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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:dae385e603cfa697c1ba4466cb165a3d754ca6c5849c2cb11c275ff878140dbe

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=sha256:3d94057dfe08b653d3e689c98d47a8eea7dea4fd2ff7fdb1760d1792868dc377

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=sha256:82aa91f41659bbf9fed8a773ef133cfcc5a3dbdb30af702ffa8a8eb6ce45fc96

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:a4646d9afc5d4d5a5d23ba798d5da080e836007b16ed55957183e0bb365904a6

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=sha256:8c47b71fe68309a17684a9669d1194f6f1790ffcac77d3cae0ea5dede66c3f01

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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source=arxiv_source observed=2026-08-11T14:07:30.827725Z digest=sha256:700acdeb2af82d2ba3f054a59eb943246cc5034e5c02eed8879cd620f145ce69

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:bc2d4b31f92ac6eba06d0cf7b5151bcafbf6a3b47ffb26fcf72c45a4915b19ad

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=sha256:315ad16022a5371cab00c8c88af1798b38d85e49055c4fa69c98521ac79fa5a7

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:e4db7cc6fcb2f6c80d0951ad4d851f5817a3687e4c1404803743d48dd27dbe5b

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=sha256:65d1fd8d09aa61266c585f2706416f260453bbb22c45f276c3a3adf14025855a

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=sha256:918d607bb2fde3ed275eb17d87eb696248f3876771a2131cffa86fe1cdf8cb13

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:d04d8e916858897fc4dc4412fcb6a04e0a4e87dee0e8e9b9ba85ab33e926b9c8

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=sha256:12213ac34c7fc32751c7670608b2dcc64079a50d0f1d3a63213e789bbbc10429

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=sha256:4b3c1b8bb8d93daaa45f0e74cd749745febc9abadf93ee935e6bae0c58aa6aba

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=sha256:1baf894fafcaa536d7ed634f9e1dc1db70aef0d8dc5546da3506408f1077cc43

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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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=2026-08-11T14:07:30.888705Z digest=sha256:3d45fbf30665fe9c901ea9fdd9593099f92bda5b5570699b7a449a085c8f2920

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=sha256:511a1503776256abe0c4ea81971982ccb5328924ecce1a35443fc66281488284

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:dc5c5f47ffa285d8f014483a1f1af49975b5887598ab659d32ee69fac0469a73

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=sha256:2c807f5142c26c07385742aad57901afe44731e2c8463a05181cde81b85c4eaa

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:dc88b2d656c2697b851edadc4b9a7304f7f2d93b4d7ee9640efbd9a26b62fb1d

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:c31863c600fabe448a5c458ad50ef13fd42a6a4887fc551817cadb06fc0121e9

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:aa6ae3322dc829077eeadb42f05737d074c1810b58f85511b7c65d850c925ce3

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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raw_fallback, observed 2026-08-11T14:07:32.225557Z

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:fc328d4deae193933c72fef7c6e1a373602eb7ef75e64bdc874df108cf55f03c

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:fc011f86e7162b4f679645806cfae438411a2e19528dacce79a087cbe0304ad0

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=sha256:48dba4b2903346db18b0c0e5455788052ec0e8f382f59394914135c96dd70117

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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raw_fallback, observed 2026-08-11T14:07:32.193994Z

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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=sha256:74de183be106940c0aeb404ac07aa1e07755e2ac72517347d4289867dc08f9e4

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:d85caf30ff96133f052761e065b5e5c430555ee25cf74984f50c48611ffb3bbe

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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no resolver link, observed 2026-08-11T14:07:31.198655Z

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source=arxiv_source observed=2026-08-11T14:07:31.198655Z digest=sha256:91e52a238a994ae126cf452870e37954daa9ff5c33cf929873268ca0a31380fa

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:beb545e3aef5b348ab110b53beeb9ec2c54dac7c431ac204668f52d880e558ee

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:e1cc808a84346d8abc16f3eb7efbb0f3b4d8d82668d9930d92cc2caa827c2d4c

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=sha256:237ba363766796a6dd8bb0211eaba22cfde656f992653cfe2ac2cf677091e864

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=sha256:4a78f94551d19756a5e9d35b60129a09c1a3e2c93c69bb2c4e36fd27ae747fc1

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=sha256:33f8826aa9e8a0f1663a3339b768b42592e6c14350090acc9ba89f2fd2a275f8

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:bd23764c6a253143191daadd33957c95b865fc859a299eae3aecabe36e07e7f8

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=sha256:4a3a500f8899bd44e7e778eca7b858dc6b33d76e33625357a59d11329a578e98

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=sha256:05efa97992f6a19e5c678139aeebade55ab5e7d3b35d5266060023a17564cb85

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:b5408e2e87a70f659845e8288f77be207b6ebbeffcc0ae9fb3782ff45447bd50

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=sha256:6dce441f8a2f5f3b5affe0fb7a105544eede200202b43bc280d4df150ed12f75

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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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T14:07:31.269990Z digest=sha256:92789ef38f78db23fbcf954477978509ee40dea21c47ce3224ada85b37190755

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:d15808ff6fb2b880127eb40ccb7b25c580c950f4d369875c1cb1c4d8e841cbe6

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=sha256:97f0138bffd2a1a6d222ed2b2dee4d9535d049e017651ecdd3e7bc53c0d51770

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=sha256:3094ad911782378f6868eeffb71b6b11582041d651009d03e4cb46208c40d38c

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=sha256:5deda38e833038b9767fff351741e0ea15fe19ef997f5de88190f9c364390703

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:f16c2b44c5caf786addcd0ef7d1229ece4b19be4f5e56975a16e36fe4d06fe70

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=sha256:4d78a9836d95f4c3b3d9fd75a2e48c3c46733347ac6b68231868a27dc2bd6f6d

Pith citing papers

No inbound Pith citation observations are available.