Paper Citation Record · LEDGER

NeedleChain: Measuring Intact Context Comprehension Capability of Large Language Models

As of 20 August 2026, this Paper Citation Record lists 39 of 39 outbound references and 0 inbound Pith citation observations for arXiv:2507.22411.

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

pith.paper-citation-record.v1
2507.22411 v3

Coverage vector

measured 39 of 39 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T11:46:27.690613Z

measured 39 of 39 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+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

39 of 39 outbound references displayed

verified exact1
verified fuzzy12
unresolved26
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 06c60503-8b14-4bb6-8ee8-de3c0d9b0744 · outbound

This paper cites L -eval: Instituting standardized evaluation for long context language models.

NeedleChain: Measuring Intact Context Comprehension Capability of Large Language Models L -eval: Instituting standardized evaluation for long context language models

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-06T11:46:27.496364Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6705ba03-5846-494e-b84d-59c35f98ae6b · outbound

This paper cites Why Does the Effective Context Length of LLMs Fall Short?.

NeedleChain: Measuring Intact Context Comprehension Capability of Large Language Models Why Does the Effective Context Length of LLMs Fall Short?

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-06T11:46:27.504905Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0d49ffe9-54d1-4eb0-8f97-585cb830a97e · outbound

This paper cites L ong B ench: A bilingual, multitask benchmark for long context understanding.

NeedleChain: Measuring Intact Context Comprehension Capability of Large Language Models L ong B ench: A bilingual, multitask benchmark for long context understanding

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-06T11:46:27.511602Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 828392cb-c7af-4d80-94da-ee230c7bd4c0 · outbound

This paper cites Lost in the haystack: Smaller needles are more difficult for llms to find.

NeedleChain: Measuring Intact Context Comprehension Capability of Large Language Models Lost in the haystack: Smaller needles are more difficult for llms to find

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-06T11:46:27.521771Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f9b5b160-22e3-4aa3-ac54-f185959fde41 · outbound

This paper cites Longrope: extending llm context window beyond 2 million tokens.

NeedleChain: Measuring Intact Context Comprehension Capability of Large Language Models Longrope: extending llm context window beyond 2 million tokens

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:46:30.011348Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation e7c47c35-0e6b-4924-97db-9975f380f9ff · outbound

This paper cites Robinson, Keren Gu, Anna-Luisa Brakman, Pamela Mishkin, Meghan Shah, Johannes Heidecke, Lilian Weng, and Adam Tauman Kalai.

NeedleChain: Measuring Intact Context Comprehension Capability of Large Language Models Robinson, Keren Gu, Anna-Luisa Brakman, Pamela Mishkin, Meghan Shah, Johannes Heidecke, Lilian Weng, and Adam Tauman Kalai

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:46:29.819422Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 85064a81-8709-48d6-8bbf-ed26bf4b26d8 · outbound

This paper cites A little goes a long way: Efficient long context training and inference with partial contexts.

NeedleChain: Measuring Intact Context Comprehension Capability of Large Language Models A little goes a long way: Efficient long context training and inference with partial contexts

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:46:29.723407Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation dbe909cd-9916-41f0-a0a4-99660e694531 · outbound

This paper cites The Llama 3 Herd of Models.

NeedleChain: Measuring Intact Context Comprehension Capability of Large Language Models The Llama 3 Herd of Models

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-06T11:46:27.544539Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fafd8105-793c-48ff-a563-0cc581de2123 · outbound

This paper cites RULER : What s the real context size of your long-context language models? In First Conference on Language Modeling, 2024.

NeedleChain: Measuring Intact Context Comprehension Capability of Large Language Models RULER : What s the real context size of your long-context language models? In First Conference on Language Modeling, 2024

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-06T11:46:27.549449Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d01add48-d443-4b30-8a68-8236896c9903 · outbound

This paper cites GPT-4o System Card.

NeedleChain: Measuring Intact Context Comprehension Capability of Large Language Models GPT-4o System Card

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-06T11:46:27.553003Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5bd5ee6b-52da-4fa4-ad8f-8ca1d8b9db28 · outbound

This paper cites Llm maybe longlm: Selfextend llm context window without tuning.

NeedleChain: Measuring Intact Context Comprehension Capability of Large Language Models Llm maybe longlm: Selfextend llm context window without tuning

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:46:29.582898Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 036587d2-ef5d-4365-be44-8c051fdd258c · outbound

This paper cites Babilong: Testing the limits of llms with long context reasoning-in-a-haystack.

NeedleChain: Measuring Intact Context Comprehension Capability of Large Language Models Babilong: Testing the limits of llms with long context reasoning-in-a-haystack

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:46:29.438687Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 3d7013a5-3ff9-46b1-bf89-dd6fe1a282e5 · outbound

This paper cites Efficient memory management for large language model serving with pagedattention.

NeedleChain: Measuring Intact Context Comprehension Capability of Large Language Models Efficient memory management for large language model serving with pagedattention

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-06T11:46:27.566070Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d3716063-93bb-4964-a404-3f4fec1d63ba · outbound

This paper cites Summary of a haystack: A challenge to long-context llms and rag systems.

NeedleChain: Measuring Intact Context Comprehension Capability of Large Language Models Summary of a haystack: A challenge to long-context llms and rag systems

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:46:29.276786Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation cfca3c99-9896-42a2-a3ef-ea2e42b3d7bd · outbound

This paper cites an unresolved cited work.

NeedleChain: Measuring Intact Context Comprehension Capability of Large Language Models Unresolved cited work

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-06T11:46:27.573684Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 63b56fc7-333b-4e53-ac73-935f888ff4aa · outbound

This paper cites Needlebench: Can llms do retrieval and reasoning in 1 million context window? arXiv preprint arXiv:2407.11963, 2024 b.

NeedleChain: Measuring Intact Context Comprehension Capability of Large Language Models Needlebench: Can llms do retrieval and reasoning in 1 million context window? arXiv preprint arXiv:2407.11963, 2024 b

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-06T11:46:27.578298Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 522563eb-6d57-4c54-a6be-7c4bcbd31790 · outbound

This paper cites MARIO : MA th reasoning with code interpreter output - a reproducible pipeline.

NeedleChain: Measuring Intact Context Comprehension Capability of Large Language Models MARIO : MA th reasoning with code interpreter output - a reproducible pipeline

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-06T11:46:27.583360Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cf94dfeb-a0f7-4c58-a42f-4f747c5f917d · outbound

This paper cites DeepSeek-V3 Technical Report.

NeedleChain: Measuring Intact Context Comprehension Capability of Large Language Models DeepSeek-V3 Technical Report

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-06T11:46:27.588726Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 05a0efc1-82cd-4def-9a61-b1d2f81b6207 · outbound

This paper cites Lost in the middle: How language models use long contexts.

NeedleChain: Measuring Intact Context Comprehension Capability of Large Language Models Lost in the middle: How language models use long contexts

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:46:29.130444Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 34b04707-0861-4270-805c-30383b7df666 · outbound

This paper cites The llama 4 herd: The beginning of a new era of natively multimodal ai innovation.

NeedleChain: Measuring Intact Context Comprehension Capability of Large Language Models The llama 4 herd: The beginning of a new era of natively multimodal ai innovation

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:46:29.016266Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 654112ab-d448-4106-9f0f-60c86e5bb4f2 · outbound

This paper cites Ya RN : Efficient context window extension of large language models.

NeedleChain: Measuring Intact Context Comprehension Capability of Large Language Models Ya RN : Efficient context window extension of large language models

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-06T11:46:27.605394Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f15e1a9e-cbb7-4de4-8082-a7cba26892b7 · outbound

This paper cites o ring, and Julius Tr \.

NeedleChain: Measuring Intact Context Comprehension Capability of Large Language Models o ring, and Julius Tr \

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:46:28.890627Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 4d393cd8-b644-4cf8-8f21-7d5f9c4983bd · outbound

This paper cites G eo C oder: Solving geometry problems by generating modular code through vision-language models.

NeedleChain: Measuring Intact Context Comprehension Capability of Large Language Models G eo C oder: Solving geometry problems by generating modular code through vision-language models

Reference 23

Resolution: verified exact; doi, observed 2026-08-06T11:46:27.736328Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 4c602030-6238-457c-a450-0f5b6b115e8f · outbound

This paper cites Counting-stars: A multi-evidence, position-aware, and scalable benchmark for evaluating long-context large language models.

NeedleChain: Measuring Intact Context Comprehension Capability of Large Language Models Counting-stars: A multi-evidence, position-aware, and scalable benchmark for evaluating long-context large language models

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:46:28.761262Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation e333c5d0-ee7e-4b50-9ac6-b73ee2f45e6b · outbound

This paper cites Gemma 3 Technical Report.

NeedleChain: Measuring Intact Context Comprehension Capability of Large Language Models Gemma 3 Technical Report

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-06T11:46:27.622443Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c83896ea-3553-4513-a4a9-d68fc873aa95 · outbound

This paper cites Qwq-32b: Embracing the power of reinforcement learning, 2025.

NeedleChain: Measuring Intact Context Comprehension Capability of Large Language Models Qwq-32b: Embracing the power of reinforcement learning, 2025

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-06T11:46:27.627010Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ffe97308-7504-44dc-925e-23f1cfda8f71 · outbound

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

NeedleChain: Measuring Intact Context Comprehension Capability of Large Language Models Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-06T11:46:27.631026Z

Source-reported events for the cited work

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Observation e9144b23-141c-406c-bca0-736ba4a2905c · outbound

This paper cites Focused transformer: Contrastive training for context scaling.

NeedleChain: Measuring Intact Context Comprehension Capability of Large Language Models Focused transformer: Contrastive training for context scaling

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:46:28.569233Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 7bb3c8db-7d2c-4260-b2ef-d648aaa7a923 · outbound

This paper cites Needle in a multimodal haystack.

NeedleChain: Measuring Intact Context Comprehension Capability of Large Language Models Needle in a multimodal haystack

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:46:28.377927Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 4e8a3c6f-08f0-4d1a-85e7-4503d2cc7f49 · outbound

This paper cites Transformers: State-of-the-art natural language processing.

NeedleChain: Measuring Intact Context Comprehension Capability of Large Language Models Transformers: State-of-the-art natural language processing

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-06T11:46:27.644477Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d2ccb463-1a52-473d-86e5-75f84a56734b · outbound

This paper cites Qwen2.5 Technical Report.

NeedleChain: Measuring Intact Context Comprehension Capability of Large Language Models Qwen2.5 Technical Report

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-06T11:46:27.648103Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation af51c293-28e1-4759-b51a-8e37ff4afe55 · outbound

This paper cites Qwen3 Technical Report.

NeedleChain: Measuring Intact Context Comprehension Capability of Large Language Models Qwen3 Technical Report

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-06T11:46:27.652320Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 74fd94d5-9007-46ef-a4ca-df8740aed517 · outbound

This paper cites Qwen2.5-1M Technical Report.

NeedleChain: Measuring Intact Context Comprehension Capability of Large Language Models Qwen2.5-1M Technical Report

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-06T11:46:27.658253Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8559064b-2315-4680-8853-a03504f67425 · outbound

This paper cites Sequential-niah: A needle-in-a-haystack benchmark for extracting sequential needles from long contexts.

NeedleChain: Measuring Intact Context Comprehension Capability of Large Language Models Sequential-niah: A needle-in-a-haystack benchmark for extracting sequential needles from long contexts

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-06T11:46:27.663661Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e288130a-9477-44aa-8fe4-4c0d804077bc · outbound

This paper cites B ench: Extending long context evaluation beyond 100 K tokens.

NeedleChain: Measuring Intact Context Comprehension Capability of Large Language Models B ench: Extending long context evaluation beyond 100 K tokens

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-06T11:46:27.668143Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f2984a17-bc41-403c-857b-58a98bdab347 · outbound

This paper cites write newline.

NeedleChain: Measuring Intact Context Comprehension Capability of Large Language Models write newline

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-06T11:46:27.675184Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b353e21d-8a58-4bd4-be83-64542fdf0e0b · outbound

This paper cites @esa (Ref.

NeedleChain: Measuring Intact Context Comprehension Capability of Large Language Models @esa (Ref

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-06T11:46:27.681160Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 90a33ccb-bd36-4710-82e5-3efc165e196e · outbound

This paper cites an unresolved cited work.

NeedleChain: Measuring Intact Context Comprehension Capability of Large Language Models Unresolved cited work

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-06T11:46:27.686304Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2661babe-2179-4fb7-b73e-f640903c2a28 · outbound

This paper cites ROPE Contraction.

NeedleChain: Measuring Intact Context Comprehension Capability of Large Language Models ROPE Contraction

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-06T11:46:27.690613Z

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Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.