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Paper Citation Record · LEDGER

Insights into LLM Long-Context Failures: When Transformers Know but Don't Tell

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2406.14673.

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

pith.paper-citation-record.v1
2406.14673 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:18:38.394009Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T23:29:02.476574Z

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 f94bb474-2d7d-4270-a942-aaf26ec30034 · inbound

Enhancing Visual Reliance in Text Generation: A Bayesian Perspective on Mitigating Hallucination in Large Vision-Language Models cites this paper.

Enhancing Visual Reliance in Text Generation: A Bayesian Perspective on Mitigating Hallucination in Large Vision-Language Models Insights into LLM Long-Context Failures: When Transformers Know but Don't Tell

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-07T14:18:38.394009Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:18:38.394009Z digest=sha256:9345faa7d40b326828b28cd54de256dd86ede239c1b7c190ca78626f43a8bd8c

Observation ec8a071c-1b83-41fe-9eff-c11902385c2c · inbound

Mitigating Posterior Salience Attenuation in Long-Context LLMs with Positional Contrastive Decoding cites this paper.

Mitigating Posterior Salience Attenuation in Long-Context LLMs with Positional Contrastive Decoding Insights into LLM Long-Context Failures: When Transformers Know but Don't Tell

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-07T05:20:55.232167Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:20:55.232167Z digest=sha256:9bfd2b962b8c6cde89b12c1d235611d7cbcc239034de934bbf0bab5f43e6c1a3

Observation 4684c0d9-e17a-4473-94a5-90294e5ce1e2 · inbound

Extracting Visual Facts from Intermediate Layers for Mitigating Hallucinations in Multimodal Large Language Models cites this paper.

Extracting Visual Facts from Intermediate Layers for Mitigating Hallucinations in Multimodal Large Language Models Insights into LLM Long-Context Failures: When Transformers Know but Don't Tell

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-06T15:32:34.510625Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:32:34.510625Z digest=sha256:32d759d072cf48b8e3a4668bffb7c30a84b91cb47f79a3f0466c8a87cc6584e4

Observation 24779873-c0b8-4929-bbf2-c226f9b43eba · inbound

Controlling the Risk of Corrupted Contexts for Language Models via Early-Exiting cites this paper.

Controlling the Risk of Corrupted Contexts for Language Models via Early-Exiting Insights into LLM Long-Context Failures: When Transformers Know but Don't Tell

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-04T12:45:26.315795Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T12:45:26.315795Z digest=sha256:086adc841614d84b8a2d0f543276271e1f7cb23f089af55bbb42e82ad8ab02f6

Observation 14426663-7740-4ddf-8209-934144552831 · inbound

The Measurement Gap in the Automation of EU Law: Benchmarking Doctrinal Legal Reasoning under the EU AI Act cites this paper.

The Measurement Gap in the Automation of EU Law: Benchmarking Doctrinal Legal Reasoning under the EU AI Act Insights into LLM Long-Context Failures: When Transformers Know but Don't Tell

Reference 70

Resolution
verified exact
arxiv_id, observed 2026-07-03T23:29:02.477940Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-26T22:16:25.919667Z digest=sha256:98d8f453eb90ee38af35b7fb9b9ec958cdc72e30099b4bf685ccbb3d7551af57