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Paper Citation Record · LEDGER

Extracting Paragraphs from LLM Token Activations

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2409.06328.

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

pith.paper-citation-record.v1
2409.06328 v1

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 2026-08-15T06:32:42.880941+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T16:18:48.047439Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

2
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation e564872a-6070-466a-b370-d908e7e357b1 · inbound

Emergent Response Planning in LLMs cites this paper.

Emergent Response Planning in LLMs Extracting Paragraphs from LLM Token Activations

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-08T16:18:48.047439Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T16:18:48.047439Z digest=sha256:96b1de873a62f8c24ecefbfce9b465cd378245cb782e7004b114780ca80448ce

Observation ed810977-3cb4-4ef7-bb5e-26bf1b7daf59 · inbound

Do Large Language Models Plan Answer Positions? Position Bias in Multiple-Choice Question Generation cites this paper.

Do Large Language Models Plan Answer Positions? Position Bias in Multiple-Choice Question Generation Extracting Paragraphs from LLM Token Activations

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-05-09T21:33:29.612848Z

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.

source=arxiv_source observed=2026-05-09T17:23:50.486306Z digest=sha256:937c9e715e61e9f1e61e7e80437e52a55212c7f84d1aa614a5605ad2e845d9d7