Paper Citation Record · LEDGER

SaulLM-7B: A pioneering Large Language Model for Law

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 28 inbound Pith citation observations for arXiv:2403.03883.

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

pith.paper-citation-record.v1
2403.03883 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 28 of 28 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 28 of 28 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T04:33:16.848007Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

18
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 1e45d6e4-414c-46cf-99d5-b2ae58e7da3d · inbound

Retrieval-Augmented Generation for Natural Language Processing: A Survey cites this paper.

Retrieval-Augmented Generation for Natural Language Processing: A Survey SaulLM-7B: A pioneering Large Language Model for Law

Reference 26

Resolution: verified exact; arxiv_id, observed 2026-05-23T23:08:35.683916Z

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.

Observation 7dbb28c7-707f-401d-8123-c86082599f3b · inbound

AI Safety Landscape for Large Language Models: Taxonomy, State-of-the-art, and Future Directions cites this paper.

AI Safety Landscape for Large Language Models: Taxonomy, State-of-the-art, and Future Directions SaulLM-7B: A pioneering Large Language Model for Law

Reference 149

Resolution: verified exact; arxiv_id, observed 2026-05-23T21:55:50.054464Z

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.

Observation 1f847fd9-47be-44f9-ba2b-1992b306435c · inbound

SOFT: Selective Data Obfuscation for Protecting LLM Fine-tuning against Membership Inference Attacks cites this paper.

SOFT: Selective Data Obfuscation for Protecting LLM Fine-tuning against Membership Inference Attacks SaulLM-7B: A pioneering Large Language Model for Law

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-07T04:33:16.848007Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6163c41d-ff85-472c-8d5b-d865f4b1ed54 · inbound

TRIDENT: Benchmarking LLM Safety in Finance, Medicine, and Law cites this paper.

TRIDENT: Benchmarking LLM Safety in Finance, Medicine, and Law SaulLM-7B: A pioneering Large Language Model for Law

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-06T15:04:21.433722Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fedad265-1970-492f-be16-bdbca22c803d · inbound

Llama-3.1-FoundationAI-SecurityLLM-8B-Instruct Technical Report cites this paper.

Llama-3.1-FoundationAI-SecurityLLM-8B-Instruct Technical Report SaulLM-7B: A pioneering Large Language Model for Law

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-06T05:57:29.188856Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2ce42f07-e046-49af-b740-a91ab8df5261 · inbound

Middo: Model-Informed Dynamic Data Optimization for Enhanced LLM Fine-Tuning via Closed-Loop Learning cites this paper.

Middo: Model-Informed Dynamic Data Optimization for Enhanced LLM Fine-Tuning via Closed-Loop Learning SaulLM-7B: A pioneering Large Language Model for Law

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-05T14:13:47.448387Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 72afe5d3-8673-43ff-8636-e7d7c88445f2 · inbound

LLMs for LLMs: A Structured Prompting Methodology for Long Legal Documents cites this paper.

LLMs for LLMs: A Structured Prompting Methodology for Long Legal Documents SaulLM-7B: A pioneering Large Language Model for Law

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-05T11:48:44.861535Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c49ee05b-42e8-4c4e-92a1-28897a83b543 · inbound

Capacity-Aware Mixture Law Enables Efficient LLM Data Optimization cites this paper.

Capacity-Aware Mixture Law Enables Efficient LLM Data Optimization SaulLM-7B: A pioneering Large Language Model for Law

Reference 9

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T14:25:55.429327Z

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.

Observation edef95ff-ca75-4eef-adc8-2620d4ba6612 · inbound

EvoRAG: Making Knowledge Graph-based RAG Automatically Evolve through Feedback-driven Backpropagation cites this paper.

EvoRAG: Making Knowledge Graph-based RAG Automatically Evolve through Feedback-driven Backpropagation SaulLM-7B: A pioneering Large Language Model for Law

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-10T08:02:25.140244Z

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.

Observation 3c6fb71e-dd0e-4412-9c05-c5e4f5a7d065 · inbound

ChipLingo: A Systematic Training Framework for Large Language Models in EDA cites this paper.

ChipLingo: A Systematic Training Framework for Large Language Models in EDA SaulLM-7B: A pioneering Large Language Model for Law

Reference 7

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T09:41:27.217302Z

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.

Observation 8f6ec6c4-6505-4c80-8a31-bc075106bfbe · inbound

Reliable AI Needs to Externalize Implicit Knowledge: A Human-AI Collaboration Perspective cites this paper.

Reliable AI Needs to Externalize Implicit Knowledge: A Human-AI Collaboration Perspective SaulLM-7B: A pioneering Large Language Model for Law

Reference 4

Resolution: metadata mismatch; arxiv_id, observed 2026-05-09T05:55:29.437810Z

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.

Observation 4fbc1f77-c523-4fd1-b0fc-66501bb90b49 · inbound

Reliable AI Needs to Externalize Implicit Knowledge: A Human-AI Collaboration Perspective cites this paper.

Reliable AI Needs to Externalize Implicit Knowledge: A Human-AI Collaboration Perspective SaulLM-7B: A pioneering Large Language Model for Law

Reference 3

Resolution: metadata mismatch; arxiv_id, observed 2026-07-01T00:15:09.069464Z

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.

Observation 71bf063e-7bbc-477b-968a-363a5124784b · inbound

VertMark: A Unified Training-Free Robust Watermarking Framework for Vertical Domain Pre-trained Language Models cites this paper.

VertMark: A Unified Training-Free Robust Watermarking Framework for Vertical Domain Pre-trained Language Models SaulLM-7B: A pioneering Large Language Model for Law

Reference 49

Resolution: metadata mismatch; arxiv_id, observed 2026-05-09T06:05:35.354723Z

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.

Observation 57b1029c-2ef2-4413-abfd-a25fcb7d61aa · inbound

OpsLLM: Construction of Large Language Model for Software Operations with Multi-stage Learning cites this paper.

OpsLLM: Construction of Large Language Model for Software Operations with Multi-stage Learning SaulLM-7B: A pioneering Large Language Model for Law

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-10T22:15:48.591553Z

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.

Observation 40140f92-ad19-4f23-8250-e49f435f7676 · inbound

OpsLLM: Construction of Large Language Model for Software Operations with Multi-stage Learning cites this paper.

OpsLLM: Construction of Large Language Model for Software Operations with Multi-stage Learning SaulLM-7B: A pioneering Large Language Model for Law

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-13T06:27:24.617733Z

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.

Observation 48464a7f-f1d8-4ba9-8eb5-c58635297474 · inbound

OpsLLM: Construction of Large Language Model for Software Operations with Multi-stage Learning cites this paper.

OpsLLM: Construction of Large Language Model for Software Operations with Multi-stage Learning SaulLM-7B: A pioneering Large Language Model for Law

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-03T02:30:31.482490Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 95205428-7f8a-49c3-8e0c-43584d3daf55 · inbound

A Few Good Clauses: Comparing LLMs vs Domain-Trained Small Language Models on Structured Contract Extraction cites this paper.

A Few Good Clauses: Comparing LLMs vs Domain-Trained Small Language Models on Structured Contract Extraction SaulLM-7B: A pioneering Large Language Model for Law

Reference 3

Resolution: malformed identifier; arxiv_id, observed 2026-05-11T19:36:15.924610Z

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.

Observation ece44bc8-7500-424c-b40e-0fcc71bbd488 · inbound

DECO: Sparse Mixture-of-Experts with Dense-Comparable Performance on End-Side Devices cites this paper.

DECO: Sparse Mixture-of-Experts with Dense-Comparable Performance on End-Side Devices SaulLM-7B: A pioneering Large Language Model for Law

Reference 135

Resolution: verified exact; arxiv_id, observed 2026-05-12T03:36:20.023593Z

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.

Observation cd71d418-dc58-4198-8eef-1f2c5dd061ff · inbound

DECO: Sparse Mixture-of-Experts with Dense-Comparable Performance on End-Side Devices cites this paper.

DECO: Sparse Mixture-of-Experts with Dense-Comparable Performance on End-Side Devices SaulLM-7B: A pioneering Large Language Model for Law

Reference 135

Resolution: verified exact; arxiv_id, observed 2026-05-13T07:32:30.452080Z

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.

Observation cb273a74-e0a4-434d-922f-2e2797bb7edf · inbound

DECO: Sparse Mixture-of-Experts with Dense-Comparable Performance on End-Side Devices cites this paper.

DECO: Sparse Mixture-of-Experts with Dense-Comparable Performance on End-Side Devices SaulLM-7B: A pioneering Large Language Model for Law

Reference 135

Resolution: verified exact; arxiv_id, observed 2026-05-21T07:59:50.294791Z

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.

Observation bef08172-395b-4781-a1f8-46e2d4defaee · inbound

GradeLegal: Automated Grading for German Legal Cases cites this paper.

GradeLegal: Automated Grading for German Legal Cases SaulLM-7B: A pioneering Large Language Model for Law

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-05-21T05:09:38.539588Z

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.

Observation 007d7b7d-07b1-4874-943e-eda6e0f92f7e · inbound

Maat: The Agentic Legal Research Assistant for Competition Protection cites this paper.

Maat: The Agentic Legal Research Assistant for Competition Protection SaulLM-7B: A pioneering Large Language Model for Law

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-06-29T17:13:45.076044Z

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.

Observation e347d0f5-0094-4074-82c5-bd3197680eed · inbound

From Talking Words to Sharing Thoughts: Scalable Multi-LLM Aggregation via Structured Message Passing cites this paper.

From Talking Words to Sharing Thoughts: Scalable Multi-LLM Aggregation via Structured Message Passing SaulLM-7B: A pioneering Large Language Model for Law

Reference 27

Resolution: metadata mismatch; arxiv_id, observed 2026-06-28T19:32:34.767091Z

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.

Observation 56b43cf8-f655-4786-b96e-b2e80d1002ad · inbound

Citation Grounding: Detecting and Reducing LLM Citation Hallucinations via Legal Citation Graphs cites this paper.

Citation Grounding: Detecting and Reducing LLM Citation Hallucinations via Legal Citation Graphs SaulLM-7B: A pioneering Large Language Model for Law

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-06-28T20:32:37.519117Z

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.

Observation e10818c8-ce18-46c9-98b6-edc219908b43 · inbound

Position: Hippocampal Explicit Memory Is the Cornerstone for AGI cites this paper.

Position: Hippocampal Explicit Memory Is the Cornerstone for AGI SaulLM-7B: A pioneering Large Language Model for Law

Reference 81

Resolution: verified exact; arxiv_id, observed 2026-07-02T18:57:16.932342Z

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.

Observation ba073e0b-cf0d-4da5-b1d7-17f843b3efe8 · inbound

Team MKC at CLPsych 2026: Capturing and Characterizing Mental Health Changes through Social Media Timeline Dynamics cites this paper.

Team MKC at CLPsych 2026: Capturing and Characterizing Mental Health Changes through Social Media Timeline Dynamics SaulLM-7B: A pioneering Large Language Model for Law

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-07-01T10:05:41.585245Z

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.

Observation 5a3d9575-e0c8-44d9-ae2c-144a35a1183a · inbound

NormWorlds-CF: Solver-Verified Counterfactual Normative Reasoning with Metamorphic-Relation GRPO cites this paper.

NormWorlds-CF: Solver-Verified Counterfactual Normative Reasoning with Metamorphic-Relation GRPO SaulLM-7B: A pioneering Large Language Model for Law

Reference 7

Resolution: unresolved; no resolver link, observed 2026-07-11T22:45:47.429470Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c9a0b5c9-c88f-45f9-a18f-1fd5550f8a3f · inbound

NormWorlds-CF: Solver-Verified Counterfactual Normative Reasoning with Metamorphic-Relation GRPO cites this paper.

NormWorlds-CF: Solver-Verified Counterfactual Normative Reasoning with Metamorphic-Relation GRPO SaulLM-7B: A pioneering Large Language Model for Law

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-02T08:49:45.819589Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.