Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-05-08T11:58:36.326809Z
Paper Citation Record · LEDGER
Context-Fidelity Boosting: Enhancing Faithful Generation through Watermark-Inspired Decoding
As of 6 August 2026, this Paper Citation Record lists 8 of 8 outbound references and 1 inbound Pith citation observation for arXiv:2604.22335.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-05-08T02:01:14.533941Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-05-11T23:01:15.317143Z
Reference resolution
8 of 8 outbound references displayed
- verified exact2
- verified fuzzy3
- unresolved0
- parse uncertain0
- malformed identifier1
- metadata mismatch2
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation ef863d8d-af3c-4ac7-8685-b5cdc9314501 · outbound
This paper cites A Semantic Invariant Robust Watermark for Large Language Models.
Context-Fidelity Boosting: Enhancing Faithful Generation through Watermark-Inspired Decoding A Semantic Invariant Robust Watermark for Large Language Models
Reference 1
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-11T19:26:09.035196Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 2bbb8105-898e-4c2e-80f6-019dd37271c0 · outbound
This paper cites FaithEval: Can Your Language Model Stay Faithful to Context, Even If "The Moon is Made of Marshmallows".
Context-Fidelity Boosting: Enhancing Faithful Generation through Watermark-Inspired Decoding FaithEval: Can Your Language Model Stay Faithful to Context, Even If "The Moon is Made of Marshmallows"
Reference 2
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T19:26:09.030214Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 93bd03ca-295c-48ec-bfc7-cf08a0afd7c3 · outbound
This paper cites Shashi Narayan, Shay B.
Context-Fidelity Boosting: Enhancing Faithful Generation through Watermark-Inspired Decoding Shashi Narayan, Shay B
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T13:47:49.255807Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 40bcf780-cbc1-452e-9d1c-e2ecd9d95824 · outbound
This paper cites InProceedings of the 2018 Conference on Empirical Methods in Natural Lan- guage Processing, pages 1797–1807, Brussels, Bel- gium.
Context-Fidelity Boosting: Enhancing Faithful Generation through Watermark-Inspired Decoding InProceedings of the 2018 Conference on Empirical Methods in Natural Lan- guage Processing, pages 1797–1807, Brussels, Bel- gium
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T13:47:49.252384Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 2f77a6d7-c3ac-470d-b53b-3eb316df9519 · outbound
This paper cites Entropy-Based Decoding for Retrieval-Augmented Large Language Models.
Context-Fidelity Boosting: Enhancing Faithful Generation through Watermark-Inspired Decoding Entropy-Based Decoding for Retrieval-Augmented Large Language Models
Reference 5
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T19:26:09.017507Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation c8633b02-a421-436d-9a69-1f1c7e99610a · outbound
This paper cites InProceedings of the 55th An- nual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 1073– 1083, Vancouver, Canada.
Context-Fidelity Boosting: Enhancing Faithful Generation through Watermark-Inspired Decoding InProceedings of the 55th An- nual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 1073– 1083, Vancouver, Canada
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T13:47:49.247862Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation dbaca172-215d-4fe4-9d3c-f7cb034c823d · outbound
This paper cites A Comprehensive Survey of Hallucination Mitigation Techniques in Large Language Models.
Context-Fidelity Boosting: Enhancing Faithful Generation through Watermark-Inspired Decoding A Comprehensive Survey of Hallucination Mitigation Techniques in Large Language Models
Reference 7
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-15T19:15:13.402482Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation eb24bd27-3deb-44fa-bd7a-1d62965856d2 · outbound
This paper cites Model Tells Itself Where to Attend: Faithfulness Meets Automatic Attention Steering.
Context-Fidelity Boosting: Enhancing Faithful Generation through Watermark-Inspired Decoding Model Tells Itself Where to Attend: Faithfulness Meets Automatic Attention Steering
Reference 8
- Resolution
- malformed identifier
- arxiv_id, observed 2026-05-11T19:26:09.026153Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Pith citing papers
Observation cf0ea998-20b4-44e5-abb8-b6b16f77ab27 · inbound
Learning to Route Queries to Heads for Attention-based Re-ranking with Large Language Models cites this paper.
Learning to Route Queries to Heads for Attention-based Re-ranking with Large Language Models Context-Fidelity Boosting: Enhancing Faithful Generation through Watermark-Inspired Decoding
Reference 58
- Resolution
- verified exact
- local_arxiv, observed 2026-05-11T23:01:15.320226Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.