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Paper Citation Record · LEDGER

AutoLAW: Augmented Legal Reasoning through Legal Precedent Prediction

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2106.16034.

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

pith.paper-citation-record.v1
2106.16034 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T22:43:05.958550Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T04:42:24.346035Z

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 34aa249b-4463-4fc0-9e1f-e56e65a49ef0 · inbound

Feedback-Guided Extraction of Knowledge Base from Retrieval-Augmented LLM Applications cites this paper.

Feedback-Guided Extraction of Knowledge Base from Retrieval-Augmented LLM Applications AutoLAW: Augmented Legal Reasoning through Legal Precedent Prediction

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-12T15:34:25.468610Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T15:34:25.468610Z digest=sha256:a9963757d37f3c912941ed1afc9b0f3c53671e78eccb6df5ccc0df76080164e6

Observation ec8f17c7-4d4a-495d-be3a-f289b38f0979 · inbound

A Survey on Backdoor Threats in Large Language Models (LLMs): Attacks, Defenses, and Evaluations cites this paper.

A Survey on Backdoor Threats in Large Language Models (LLMs): Attacks, Defenses, and Evaluations AutoLAW: Augmented Legal Reasoning through Legal Precedent Prediction

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-09T00:49:59.980439Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T00:49:59.980439Z digest=sha256:39d3765944e836c866f6d14e599352c52ede33c1a2d7adf794e6c6c798491a4b

Observation 8526b928-a01a-4961-b909-a49c43c70538 · inbound

POISONCRAFT: Practical Poisoning of Retrieval-Augmented Generation for Large Language Models cites this paper.

POISONCRAFT: Practical Poisoning of Retrieval-Augmented Generation for Large Language Models AutoLAW: Augmented Legal Reasoning through Legal Precedent Prediction

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-15T22:43:05.958550Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:43:05.958550Z digest=sha256:be9d2b4b2c9afed8b8d147d0a3e7b03ccc17fda038d7cd99bb0751a16e2fac91

Observation 96fab2b7-e261-4f54-a336-4e0a429af734 · inbound

Spa-VLM: Stealthy Poisoning Attacks on RAG-based VLM cites this paper.

Spa-VLM: Stealthy Poisoning Attacks on RAG-based VLM AutoLAW: Augmented Legal Reasoning through Legal Precedent Prediction

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-07T13:21:39.682688Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:21:39.682688Z digest=sha256:df8f1ab56cb23afde575c399c31ed778a0647256b6c9fd17d4326ceae55de5d4

Observation 7e1fd033-ac52-44fc-b032-e95219f7e2e6 · inbound

DCMI: A Differential Calibration Membership Inference Attack Against Retrieval-Augmented Generation cites this paper.

DCMI: A Differential Calibration Membership Inference Attack Against Retrieval-Augmented Generation AutoLAW: Augmented Legal Reasoning through Legal Precedent Prediction

Reference 38

Resolution
verified exact
local_arxiv, observed 2026-08-05T04:42:24.382387Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-05T04:42:13.817266Z digest=sha256:59adce06103472ed14bd2a707279340ce518833ce0c98fe07d0b29ca5326624f