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Paper Citation Record · LEDGER

Attribute or Abstain: Large Language Models as Long Document Assistants

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2407.07799.

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

pith.paper-citation-record.v1
2407.07799 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T11:01:28.846203Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-25T05:00:21.901676Z

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 385ebfff-dbb6-455c-8a60-446965398ae6 · inbound

On Mechanistic Circuits for Extractive Question-Answering cites this paper.

On Mechanistic Circuits for Extractive Question-Answering Attribute or Abstain: Large Language Models as Long Document Assistants

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-08T11:01:28.846203Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T11:01:28.846203Z digest=sha256:d4694fae7455d67cbcc1491f9e1f6d46a947ce28d369eec552476a41a0770ae0

Observation 05785b22-72b9-4588-9c95-366a1a08c632 · inbound

Positional Failures in Long-Context LLMs: A Blind Spot in Reasoning Benchmarks cites this paper.

Positional Failures in Long-Context LLMs: A Blind Spot in Reasoning Benchmarks Attribute or Abstain: Large Language Models as Long Document Assistants

Reference 34

Resolution
verified exact
arxiv_id, observed 2026-05-25T05:00:21.904685Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-25T04:58:15.184063Z digest=sha256:83b2f88537e1cc298aaa1103e8cd59d3e3c734b422b263198e931d1f3e8ddce4