Pith. sign in

Paper Citation Record · LEDGER

Necessary and Sufficient Watermark for Large Language Models

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2310.00833.

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

pith.paper-citation-record.v1
2310.00833 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 10 of 10 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T19:29:13.846188Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T17:29:59.992005Z

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 d3c112b8-51df-402d-b622-f182eca2e21f · inbound

Toward Copyright Integrity and Verifiability via Multi-Bit Watermarking for Intelligent Transportation Systems cites this paper.

Toward Copyright Integrity and Verifiability via Multi-Bit Watermarking for Intelligent Transportation Systems Necessary and Sufficient Watermark for Large Language Models

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-08T19:29:13.846188Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T19:29:13.846188Z digest=sha256:9e622c0fdbf277daa028dc7ca3ee961efb19be4d4b75e694504cd5f6a2b26922

Observation 39275d56-5c6c-4376-b196-abfc3395d3f5 · inbound

Copyright Protection for Large Language Models: A Survey of Methods, Challenges, and Trends cites this paper.

Copyright Protection for Large Language Models: A Survey of Methods, Challenges, and Trends Necessary and Sufficient Watermark for Large Language Models

Reference 135

Resolution
verified exact
arxiv_id, observed 2026-05-18T22:46:52.877740Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-18T22:45:31.935618Z digest=sha256:963d2d9132b5923d7124fe16059e5c3390a31c5a8c0115433ba20044929b0a78

Observation e4e7e72d-721d-4b60-b498-b394f0739300 · inbound

RLCracker: Evaluating the Worst-Case Vulnerability of LLM Watermarks with Adaptive RL Attacks cites this paper.

RLCracker: Evaluating the Worst-Case Vulnerability of LLM Watermarks with Adaptive RL Attacks Necessary and Sufficient Watermark for Large Language Models

Reference 33

Resolution
verified exact
arxiv_id, observed 2026-05-18T14:26:27.994326Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-05-18T14:25:25.576642Z digest=sha256:98c6349a7b6a8e533b9ea4855920f9a67e05a13c23d46402872dfa2abf0aaebd

Observation 0b75df44-6f4e-4385-b6ca-97db3f5b04e1 · inbound

Optimal Multi-bit Generative Watermarking Schemes Under Worst-Case False-Alarm Constraints cites this paper.

Optimal Multi-bit Generative Watermarking Schemes Under Worst-Case False-Alarm Constraints Necessary and Sufficient Watermark for Large Language Models

Reference 22

Resolution
verified exact
arxiv_id, observed 2026-05-11T08:10:57.868131Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-10T16:48:41.367877Z digest=sha256:2b1d52397d74e50b3bf8eff22ef80c56ed8a9c57a639cbeca03831ce88156fc2

Observation cda8d567-44e6-4da2-9a62-9788a2b59bfe · inbound

Block-wise Codeword Embedding for Reliable Multi-bit Text Watermarking cites this paper.

Block-wise Codeword Embedding for Reliable Multi-bit Text Watermarking Necessary and Sufficient Watermark for Large Language Models

Reference 61

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T15:31:06.095276Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-05-09T19:52:21.350072Z digest=sha256:26492e8882915a92f0870c1011c02d775d789d7c53651d58778e38f13f61402e

Observation 8fd11086-3ab7-4fc7-920c-a02ecd74cc26 · inbound

Block-wise Codeword Embedding for Reliable Multi-bit Text Watermarking cites this paper.

Block-wise Codeword Embedding for Reliable Multi-bit Text Watermarking Necessary and Sufficient Watermark for Large Language Models

Reference 20

Resolution
verified exact
arxiv_id, observed 2026-07-01T08:25:33.371908Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-07-01T08:18:41.830466Z digest=sha256:04255f711c8ce03e14ce8d3a3f9d8d53ddc5235674841e2c63f01bd5c367f354

Observation a2c06fc3-2578-4e96-b72e-a5e470b689a4 · inbound

PASA: A Principled Embedding-Space Watermarking Approach for LLM-Generated Text under Semantic-Invariant Attacks cites this paper.

PASA: A Principled Embedding-Space Watermarking Approach for LLM-Generated Text under Semantic-Invariant Attacks Necessary and Sufficient Watermark for Large Language Models

Reference 38

Resolution
verified exact
arxiv_id, observed 2026-05-13T01:17:02.383112Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-05-13T01:13:55.067785Z digest=sha256:3ab19285b972ad56ffbd94886fc362362a4087b209bad3d95c7a511c214c2155

Observation d959604c-0565-4316-a1a1-574cd6d10f30 · inbound

PASA: A Principled Embedding-Space Watermarking Approach for LLM-Generated Text under Semantic-Invariant Attacks cites this paper.

PASA: A Principled Embedding-Space Watermarking Approach for LLM-Generated Text under Semantic-Invariant Attacks Necessary and Sufficient Watermark for Large Language Models

Reference 38

Resolution
verified exact
arxiv_id, observed 2026-06-30T23:45:08.368796Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-06-30T23:37:21.982973Z digest=sha256:72cefd61d078c18cc88000586cfe4063cc56a36ca18c86eaf03994e247bdb14c

Observation 6c792f69-4c87-4c31-996a-5bbcbce6a896 · inbound

CORE-BREW: LLR-Based Soft Decoding for Robust Multi-Bit LLM Watermarking cites this paper.

CORE-BREW: LLR-Based Soft Decoding for Robust Multi-Bit LLM Watermarking Necessary and Sufficient Watermark for Large Language Models

Reference 23

Resolution
verified exact
arxiv_id, observed 2026-07-04T17:29:59.993673Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-06-25T23:42:44.418673Z digest=sha256:e845d4990ca20dadbaf2eb969d9e3182cbf2310ce78fa56aa5a39432ac9c955d

Observation adc6f1cd-c4f7-4a5e-8653-de2cb11e0d57 · inbound

Toward Stronger Code Watermarking: A Grammar-Driven Approach to Optimizing the Trade-off Between Quality and Detectability cites this paper.

Toward Stronger Code Watermarking: A Grammar-Driven Approach to Optimizing the Trade-off Between Quality and Detectability Necessary and Sufficient Watermark for Large Language Models

Reference 27

Resolution
unresolved
no resolver link, observed 2026-07-14T13:29:55.682502Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-14T13:29:55.682502Z digest=sha256:042a15143b2027eea1942ed64730e2327fc60851e23b0c149ec99421cae1eaeb