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Paper Citation Record · LEDGER

A Semantic Invariant Robust Watermark for Large Language Models

As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 13 inbound Pith citation observations for arXiv:2310.06356.

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

pith.paper-citation-record.v1
2310.06356 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 13 of 13 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 13 of 13 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T22:49:58.596127Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-24T02:03:43.949710Z

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 ab2d2e19-a0b7-4c3c-9215-827eaa95fa6d · inbound

Topic-Based Watermarks for Large Language Models cites this paper.

Topic-Based Watermarks for Large Language Models A Semantic Invariant Robust Watermark for Large Language Models

Reference 30

Resolution
verified exact
arxiv_id, observed 2026-05-24T02:03:43.953035Z

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=2026-05-24T02:03:15.833131Z digest=sha256:5812b13ff4196fd6eaca30fdd8e506fefbe4854e76e51bd619d7d9bc2e8693eb

Observation db3b9b8d-12db-4643-a93d-cea1680c2e12 · inbound

Robust Multi-bit Text Watermark with LLM-based Paraphrasers cites this paper.

Robust Multi-bit Text Watermark with LLM-based Paraphrasers A Semantic Invariant Robust Watermark for Large Language Models

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-11T22:49:58.596127Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T22:49:58.596127Z digest=sha256:cb07b67cb5960c9ca43f3e128e0b980a5183cd96b0335b0f9cc13dd077827df0

Observation d093f756-f98f-4450-80b4-27f76bec3f30 · inbound

GaussMark: A Practical Approach for Structural Watermarking of Language Models cites this paper.

GaussMark: A Practical Approach for Structural Watermarking of Language Models A Semantic Invariant Robust Watermark for Large Language Models

Reference 73

Resolution
unresolved
no resolver link, observed 2026-08-10T19:12:46.291784Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T19:12:46.291784Z digest=sha256:78d4298ff8791122a3cd8c6296ea4e3e4671ae0722e1b90c51eae6d5a758217c

Observation d3f2def3-a8ba-449d-8a9d-5b887c772477 · inbound

SimMark: A Robust Sentence-Level Similarity-Based Watermarking Algorithm for Large Language Models cites this paper.

SimMark: A Robust Sentence-Level Similarity-Based Watermarking Algorithm for Large Language Models A Semantic Invariant Robust Watermark for Large Language Models

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-09T11:12:56.321427Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T11:12:56.321427Z digest=sha256:7ebe6ae985689cbc00f0907609132e927e97ce5e9b4ee8b6267d973316124a1f

Observation c7158a0a-cddb-41e5-b7f4-645b683b0dd5 · inbound

MUSE: Model-Agnostic Tabular Watermarking via Multi-Sample Selection cites this paper.

MUSE: Model-Agnostic Tabular Watermarking via Multi-Sample Selection A Semantic Invariant Robust Watermark for Large Language Models

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-07T12:37:06.661668Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:37:06.661668Z digest=sha256:fcb2ddb0d2976283d9399fbfe3e44205d6e4f6e73c5346c742eeb7cbdbf1134e

Observation 1c64c680-dd1a-454f-aaa3-6680aa56010b · inbound

Paladin: Defending LLM-enabled Phishing Emails with a New Trigger-Tag Paradigm cites this paper.

Paladin: Defending LLM-enabled Phishing Emails with a New Trigger-Tag Paradigm A Semantic Invariant Robust Watermark for Large Language Models

Reference 139

Resolution
unresolved
no resolver link, observed 2026-08-04T22:33:32.520899Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T22:33:32.520899Z digest=sha256:5229da2567291cb7f17253167229348a76980ece226b5083209f4354fc7d85e9

Observation 21a57ae4-7a7f-485c-9d15-b0e50ded7414 · 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 A Semantic Invariant Robust Watermark for Large Language Models

Reference 20

Resolution
verified exact
arxiv_id, observed 2026-05-18T14:26:28.006679Z

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=sha256:3a6ac632a61b2c2abfa3c1e767d6c1a34842e7abf4e1458e92f7bc174d2f29ec

Observation ef863d8d-af3c-4ac7-8685-b5cdc9314501 · inbound

Context-Fidelity Boosting: Enhancing Faithful Generation through Watermark-Inspired Decoding cites this paper.

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-08T11:58:36.326809Z digest=sha256:d00b49f5c350bda0cbc0a8bc8f64b0083588e8d61e4356112519bb67168dc702

Observation 6d2a0774-a6cd-4210-a7dd-1fdf68137b19 · inbound

SWAN: Semantic Watermarking with Abstract Meaning Representation cites this paper.

SWAN: Semantic Watermarking with Abstract Meaning Representation A Semantic Invariant Robust Watermark for Large Language Models

Reference 55

Resolution
verified exact
arxiv_id, observed 2026-05-11T17:51:09.542804Z

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=2026-05-08T17:00:12.024370Z digest=sha256:27564e9c51775c9f61c9d4cb842d88f9c58c1bf934f7df976bfb8522e5761a60

Observation 8c572f92-f562-4d00-b249-52ffc822e8e8 · inbound

SLAM: Structural Linguistic Activation Marking for Language Models cites this paper.

SLAM: Structural Linguistic Activation Marking for Language Models A Semantic Invariant Robust Watermark for Large Language Models

Reference 15

Resolution
verified exact
arxiv_id, observed 2026-05-11T18:21:07.110105Z

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=2026-05-08T16:17:22.003460Z digest=sha256:b3b9cff672c12f1e9c1f7a6c64e424b90ff371f29e1788948a9a024e0ac760a6

Observation 04250987-da55-4de2-ad57-9631edbe2d47 · inbound

TextSeal: A Localized LLM Watermark for Provenance & Distillation Protection cites this paper.

TextSeal: A Localized LLM Watermark for Provenance & Distillation Protection A Semantic Invariant Robust Watermark for Large Language Models

Reference 15

Resolution
verified exact
arxiv_id, observed 2026-05-13T03:47:11.948970Z

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=2026-05-13T03:45:47.751525Z digest=sha256:b915ca7df38fac5f7be4a57eb5517d46f7f51220a7438036df28be9bd5992c86

Observation d4fe231c-1a7a-42bb-a718-afd4587e2ad5 · inbound

TextSeal: A Localized LLM Watermark for Provenance & Distillation Protection cites this paper.

TextSeal: A Localized LLM Watermark for Provenance & Distillation Protection A Semantic Invariant Robust Watermark for Large Language Models

Reference 15

Resolution
verified exact
arxiv_id, observed 2026-05-22T10:01:23.713241Z

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=2026-05-22T09:56:23.855385Z digest=sha256:449eab8b7b82463bee885cfc9db3f7a76f8b1a8b11f826179e489876cbfbd478

Observation 388477e7-441b-47e5-8da6-205cd3c237ff · inbound

WaterMoE: Expert-Routing-based Watermarking for High Fidelity and Efficiency cites this paper.

WaterMoE: Expert-Routing-based Watermarking for High Fidelity and Efficiency A Semantic Invariant Robust Watermark for Large Language Models

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-02T06:36:32.242481Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T06:36:32.242481Z digest=sha256:08b42f648d71cd30063057648cac70c5d274afad08a1e24a119de08f90649266