Paper Citation Record · LEDGER

One Thousand and One Pairs: A "novel" challenge for long-context language models

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 16 inbound Pith citation observations for arXiv:2406.16264.

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

pith.paper-citation-record.v1
2406.16264 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 16 of 16 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 16 of 16 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T21:59:11.461492Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T19:28:52.491023Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation f8bbca0f-b3e3-4670-a060-d9685fb5b464 · inbound

RULER: What's the Real Context Size of Your Long-Context Language Models? cites this paper.

RULER: What's the Real Context Size of Your Long-Context Language Models? One Thousand and One Pairs: A "novel" challenge for long-context language models

Reference 21

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T03:55:20.651601Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation e1156245-d11f-4974-8b38-d32615c8ab4c · inbound

Large Language Models Can Self-Improve in Long-context Reasoning cites this paper.

Large Language Models Can Self-Improve in Long-context Reasoning One Thousand and One Pairs: A "novel" challenge for long-context language models

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-12T21:59:11.461492Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e90362ec-2090-43ea-b684-a977e8346c28 · inbound

When Precision Meets Position: BFloat16 Breaks Down RoPE in Long-Context Training cites this paper.

When Precision Meets Position: BFloat16 Breaks Down RoPE in Long-Context Training One Thousand and One Pairs: A "novel" challenge for long-context language models

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-12T16:30:21.217446Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 725ecfec-196b-466e-b0e2-a234435b76c9 · inbound

Mixture-of-PageRanks: Replacing Long-Context with Real-Time, Sparse GraphRAG cites this paper.

Mixture-of-PageRanks: Replacing Long-Context with Real-Time, Sparse GraphRAG One Thousand and One Pairs: A "novel" challenge for long-context language models

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-11T20:06:05.889259Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 85898d73-b8dc-4583-bf1c-005ab5612291 · inbound

Breaking the Stage Barrier: A Novel Single-Stage Approach to Long Context Extension for Large Language Models cites this paper.

Breaking the Stage Barrier: A Novel Single-Stage Approach to Long Context Extension for Large Language Models One Thousand and One Pairs: A "novel" challenge for long-context language models

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-11T19:11:06.124113Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation df790ae7-e49c-4bea-bce0-36c21edbd9c9 · inbound

The FACTS Grounding Leaderboard: Benchmarking LLMs' Ability to Ground Responses to Long-Form Input cites this paper.

The FACTS Grounding Leaderboard: Benchmarking LLMs' Ability to Ground Responses to Long-Form Input One Thousand and One Pairs: A "novel" challenge for long-context language models

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-10T21:57:11.814838Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 04380828-fa11-496b-a776-6a58a1ce58f6 · inbound

Scaling Multi-Document Event Summarization: Evaluating Compression vs. Full-Text Approaches cites this paper.

Scaling Multi-Document Event Summarization: Evaluating Compression vs. Full-Text Approaches One Thousand and One Pairs: A "novel" challenge for long-context language models

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-08T14:55:40.243351Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2dca4fe0-76fd-4573-bcbf-ccd8cb1c6689 · inbound

Judge a Book by its Cover: Investigating Multi-Modal LLMs for Multi-Page Handwritten Document Transcription cites this paper.

Judge a Book by its Cover: Investigating Multi-Modal LLMs for Multi-Page Handwritten Document Transcription One Thousand and One Pairs: A "novel" challenge for long-context language models

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-05-23T02:25:19.419992Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation a25ef629-7603-4310-bdce-bd71c9471223 · inbound

LLMs Get Lost In Multi-Turn Conversation cites this paper.

LLMs Get Lost In Multi-Turn Conversation One Thousand and One Pairs: A "novel" challenge for long-context language models

Reference 33

Resolution: verified exact; arxiv_id, observed 2026-05-14T01:11:09.214407Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation be14f879-4ce8-400a-91e1-93d23edbf642 · inbound

Principled Content Selection to Generate Diverse and Personalized Multi-Document Summaries cites this paper.

Principled Content Selection to Generate Diverse and Personalized Multi-Document Summaries One Thousand and One Pairs: A "novel" challenge for long-context language models

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-07T13:26:11.909522Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 041d8801-d5db-41c0-acae-fa4c3265b030 · inbound

NovelHopQA: Diagnosing Multi-Hop Reasoning Failures in Long Narrative Contexts cites this paper.

NovelHopQA: Diagnosing Multi-Hop Reasoning Failures in Long Narrative Contexts One Thousand and One Pairs: A "novel" challenge for long-context language models

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T15:31:43.077816Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e77f081c-7286-4bda-abae-13c849c67dc4 · inbound

Evaluating Memory in LLM Agents via Incremental Multi-Turn Interactions cites this paper.

Evaluating Memory in LLM Agents via Incremental Multi-Turn Interactions One Thousand and One Pairs: A "novel" challenge for long-context language models

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-16T21:20:22.206689Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 92b3d2d0-8b58-4f10-b414-8dcde30572c8 · inbound

Evaluating Memory in LLM Agents via Incremental Multi-Turn Interactions cites this paper.

Evaluating Memory in LLM Agents via Incremental Multi-Turn Interactions One Thousand and One Pairs: A "novel" challenge for long-context language models

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-06T19:36:05.708952Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b0c98420-531f-4abf-b37f-3967d2e31f78 · inbound

Whose Story Gets Told? Positionality and Bias in LLM Summaries of Life Narratives cites this paper.

Whose Story Gets Told? Positionality and Bias in LLM Summaries of Life Narratives One Thousand and One Pairs: A "novel" challenge for long-context language models

Reference 69

Resolution: verified exact; arxiv_id, observed 2026-05-10T01:04:50.213120Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 3f1d7892-bfb1-43d9-bc51-6514b8913963 · inbound

Where Does Long-Context Supervision Actually Go? Effective-Context Exposure Balancing cites this paper.

Where Does Long-Context Supervision Actually Go? Effective-Context Exposure Balancing One Thousand and One Pairs: A "novel" challenge for long-context language models

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-05-12T06:51:29.142916Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation f04de793-b32f-4b6d-bfa2-ee715bf9159e · inbound

NarrativeWorldBench: A Frontier-Saturated Benchmark and a Latent World Model for Long-Horizon Co-Creative Audio Drama cites this paper.

NarrativeWorldBench: A Frontier-Saturated Benchmark and a Latent World Model for Long-Horizon Co-Creative Audio Drama One Thousand and One Pairs: A "novel" challenge for long-context language models

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-07-03T19:28:52.492920Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.