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Paper Citation Record · LEDGER

Coherence boosting: When your pretrained language model is not paying enough attention

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2110.08294.

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

pith.paper-citation-record.v1
2110.08294 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 2026-08-18T06:34:40.430872+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T10:19:34.045731Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T05:29:22.092332Z

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 b656e7f2-59e4-4b75-816f-06d10f376c0a · inbound

Direct Behavior Optimization: Unlocking the Potential of Lightweight LLMs cites this paper.

Direct Behavior Optimization: Unlocking the Potential of Lightweight LLMs Coherence boosting: When your pretrained language model is not paying enough attention

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-07T10:19:34.045731Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:19:34.045731Z digest=sha256:4bdc746fa5ecbc5d49caaa2dda80e462ddc8f66d26cf1b0594f8c3744406d00b

Observation 17c5abf8-51ee-4655-b4e7-cca3889a5160 · inbound

A comprehensive taxonomy of hallucinations in Large Language Models cites this paper.

A comprehensive taxonomy of hallucinations in Large Language Models Coherence boosting: When your pretrained language model is not paying enough attention

Reference 62

Resolution
verified exact
local_arxiv, observed 2026-08-06T05:29:22.153110Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T05:29:15.631981Z digest=sha256:c0238168d578593485d1baf1e6ad58f2a054aa059a8e8d6a760a0ac986f66e4b