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Paper Citation Record · LEDGER

A Contrastive Framework for Neural Text Generation

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2202.06417.

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

pith.paper-citation-record.v1
2202.06417 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 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 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T20:40:19.123536Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T08:39:41.704212Z

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 1015a749-2656-461a-950f-ebc057efbcfa · inbound

RAFT: Reward rAnked FineTuning for Generative Foundation Model Alignment cites this paper.

RAFT: Reward rAnked FineTuning for Generative Foundation Model Alignment A Contrastive Framework for Neural Text Generation

Reference 140

Resolution
verified exact
arxiv_id, observed 2026-05-18T00:46:56.877390Z

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=arxiv_source observed=2026-05-18T00:46:56.664582Z digest=sha256:980aafee0685f6749f72f08fad4a3bb794cc80d3dbf57a4f438428e76d0c8406

Observation d86619f2-36ad-4dd4-8b1c-199dbf9b8fe3 · inbound

DecoRTL: A Run-time Decoding Framework for RTL Code Generation with LLMs cites this paper.

DecoRTL: A Run-time Decoding Framework for RTL Code Generation with LLMs A Contrastive Framework for Neural Text Generation

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-06T20:40:19.123536Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:40:19.123536Z digest=sha256:72493e436a03b318d41ec29068d2b2bbbed1aeec9ba6d11846ebbb3718a24fa5

Observation b7eaf24e-016a-4eaf-aa36-a767f892cc2d · inbound

Multi-Hypothesis Distillation of Multilingual Neural Translation Models for Low-Resource Languages cites this paper.

Multi-Hypothesis Distillation of Multilingual Neural Translation Models for Low-Resource Languages A Contrastive Framework for Neural Text Generation

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-06T12:43:46.505203Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T12:43:46.505203Z digest=sha256:88f0b7d1f4ecb24e6f363d7531305328d016a9854ec91a2cc35d77648f61b303

Observation 896b20bb-827b-4a89-a7f0-d91bfc9c3f1f · inbound

From Image Captioning to Visual Storytelling cites this paper.

From Image Captioning to Visual Storytelling A Contrastive Framework for Neural Text Generation

Reference 69

Resolution
unresolved
no resolver link, observed 2026-08-06T10:27:39.402209Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T10:27:39.402209Z digest=sha256:16784227199d35eea920b555a29130cf710b7b8814828e6531aa47652d8b35ce

Observation 596b5a7a-c4cb-42c3-b6ae-2b1f7d302f80 · inbound

SCENIC: Semantic-Conditioned Edge-Aware Neural Framework for Structured IoT Command Generation cites this paper.

SCENIC: Semantic-Conditioned Edge-Aware Neural Framework for Structured IoT Command Generation A Contrastive Framework for Neural Text Generation

Reference 23

Resolution
metadata mismatch
arxiv_id, observed 2026-07-04T08:39:41.705723Z

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=2026-06-26T11:21:51.750330Z digest=sha256:14d7450526a30906d3be39a4ba1c4ab3806370ad8082fcb3fecb315aa733916c

Observation d06e1550-9b25-4512-80e0-a60c39147a3a · inbound

Partition, Prompt, Aggregate: Statistical Self-Consistency in Language Models cites this paper.

Partition, Prompt, Aggregate: Statistical Self-Consistency in Language Models A Contrastive Framework for Neural Text Generation

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-01T23:43:05.246094Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T23:43:05.246094Z digest=sha256:cf2e38e14c5fcb57c87578fdefcf091ece45dc78ca570a81b8fc6df9577945dd