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Paper Citation Record · LEDGER

Why is constrained neural language generation particularly challenging?

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2206.05395.

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

pith.paper-citation-record.v1
2206.05395 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 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 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:42:55.894786Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T19:50:11.249198Z

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 ddb7d4aa-df37-4093-a9d7-2f1b02168d51 · inbound

Large Language Model Meets Constraint Propagation cites this paper.

Large Language Model Meets Constraint Propagation Why is constrained neural language generation particularly challenging?

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-07T12:42:55.894786Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:42:55.894786Z digest=sha256:bd06b90ff5c5b14b7b66cc02194b8b8826e77eaa39f424a3f008098f0da01981

Observation 8f9aeed2-fb7e-4772-84e2-fcd84740611f · inbound

An End-to-End System for Culturally-Attuned Driving Feedback using a Dual-Component NLG Engine cites this paper.

An End-to-End System for Culturally-Attuned Driving Feedback using a Dual-Component NLG Engine Why is constrained neural language generation particularly challenging?

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-05T13:30:48.466029Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:30:48.466029Z digest=sha256:d7d46fd265c0c9947b7d1d60654d5aef6f93bc4c3c862e65e819b4a5848fcf4d

Observation ec14336e-2251-4ac8-a8d3-ce39e2159de4 · inbound

Constraint Tax in Open-Weight LLMs: An Empirical Study of Tool Calling Suppression Under Structured Output Constraints cites this paper.

Constraint Tax in Open-Weight LLMs: An Empirical Study of Tool Calling Suppression Under Structured Output Constraints Why is constrained neural language generation particularly challenging?

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-07-04T19:50:11.251094Z

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=2026-06-25T20:58:26.602409Z digest=sha256:43f38f33f070de5c526fedf1298b1a95fb8fe8717147a9f09e892a492a0e2d53