Paper Citation Record · LEDGER

LegalGuardian: A Privacy-Preserving Framework for Secure Integration of Large Language Models in Legal Practice

As of 11 August 2026, this Paper Citation Record lists 42 of 42 outbound references and 2 inbound Pith citation observations for arXiv:2501.10915.

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

pith.paper-citation-record.v1
2501.10915 v1

Coverage vector

measured 42 of 42 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T18:53:52.576204Z

measured 44 of 44 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-22T13:57:23.152504Z

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

42 of 42 outbound references displayed

verified exact0
verified fuzzy5
unresolved37
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

1
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation e4b8a82e-cdbc-4ba3-be46-90c206d3f266 · outbound

This paper cites , " * write output.state after.block = add.period write newline.

LegalGuardian: A Privacy-Preserving Framework for Secure Integration of Large Language Models in Legal Practice , " * write output.state after.block = add.period write newline

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-10T18:53:52.385156Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d216d9b4-8856-4c5c-bac7-cde7a9547dcc · outbound

This paper cites write newline.

LegalGuardian: A Privacy-Preserving Framework for Secure Integration of Large Language Models in Legal Practice write newline

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-10T18:53:52.390982Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8025f2f4-1c40-44ef-a557-c099a5f381cf · outbound

This paper cites an unresolved cited work.

LegalGuardian: A Privacy-Preserving Framework for Secure Integration of Large Language Models in Legal Practice Unresolved cited work

Reference 3

Resolution: unresolved; raw_fallback, observed 2026-08-10T18:53:53.186946Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 3038ead3-5e56-47ea-b34c-9a6497292179 · outbound

This paper cites an unresolved cited work.

LegalGuardian: A Privacy-Preserving Framework for Secure Integration of Large Language Models in Legal Practice Unresolved cited work

Reference 4

Resolution: unresolved; raw_fallback, observed 2026-08-10T18:53:53.173206Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation a4c5df55-1ee8-4e75-ab38-1566a41f1cf2 · outbound

This paper cites an unresolved cited work.

LegalGuardian: A Privacy-Preserving Framework for Secure Integration of Large Language Models in Legal Practice Unresolved cited work

Reference 5

Resolution: unresolved; raw_fallback, observed 2026-08-10T18:53:53.158398Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 4d8c4f99-195d-4ea0-b7be-8e92f9d65517 · outbound

This paper cites A.; and Villata, S.

LegalGuardian: A Privacy-Preserving Framework for Secure Integration of Large Language Models in Legal Practice A.; and Villata, S

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:53:53.140806Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 3cfa3282-17f5-4eb5-b1e3-a8c4c56ca97b · outbound

This paper cites R.; Kummari, N.

LegalGuardian: A Privacy-Preserving Framework for Secure Integration of Large Language Models in Legal Practice R.; Kummari, N

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:53:53.125383Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation f1680270-e3cb-41c7-8ce8-2d429d915043 · outbound

This paper cites an unresolved cited work.

LegalGuardian: A Privacy-Preserving Framework for Secure Integration of Large Language Models in Legal Practice Unresolved cited work

Reference 8

Resolution: unresolved; raw_fallback, observed 2026-08-10T18:53:53.110665Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation bac17878-2344-4064-82fc-602770a4d496 · outbound

This paper cites an unresolved cited work.

LegalGuardian: A Privacy-Preserving Framework for Secure Integration of Large Language Models in Legal Practice Unresolved cited work

Reference 9

Resolution: unresolved; raw_fallback, observed 2026-08-10T18:53:53.096304Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation d4d0d90c-ae01-4476-9f1c-1e1aa37b5fa9 · outbound

This paper cites Hide and Seek (HaS): A Lightweight Framework for Prompt Privacy Protection.

LegalGuardian: A Privacy-Preserving Framework for Secure Integration of Large Language Models in Legal Practice Hide and Seek (HaS): A Lightweight Framework for Prompt Privacy Protection

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-10T18:53:52.430332Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3f356819-8acb-4240-892f-61b9c117d249 · outbound

This paper cites V.; and Kim, M.

LegalGuardian: A Privacy-Preserving Framework for Secure Integration of Large Language Models in Legal Practice V.; and Kim, M

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:53:53.081812Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation f0c48b78-c267-424d-ada9-fc44f272bd43 · outbound

This paper cites Privacy-preserving Neural Representations of Text.

LegalGuardian: A Privacy-Preserving Framework for Secure Integration of Large Language Models in Legal Practice Privacy-preserving Neural Representations of Text

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-10T18:53:52.439845Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 80b39fb1-e40e-49c3-aaca-e08135c81ddb · outbound

This paper cites an unresolved cited work.

LegalGuardian: A Privacy-Preserving Framework for Secure Integration of Large Language Models in Legal Practice Unresolved cited work

Reference 13

Resolution: unresolved; raw_fallback, observed 2026-08-10T18:53:53.067291Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 84cc0591-1af3-4318-8c6b-d1b736ea6228 · outbound

This paper cites an unresolved cited work.

LegalGuardian: A Privacy-Preserving Framework for Secure Integration of Large Language Models in Legal Practice Unresolved cited work

Reference 14

Resolution: unresolved; raw_fallback, observed 2026-08-10T18:53:53.052818Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 9aebdd04-373d-495d-96f2-1bdb934ee5a8 · outbound

This paper cites an unresolved cited work.

LegalGuardian: A Privacy-Preserving Framework for Secure Integration of Large Language Models in Legal Practice Unresolved cited work

Reference 15

Resolution: unresolved; raw_fallback, observed 2026-08-10T18:53:53.037927Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 9efd586f-1677-4aba-8602-9623cdadb189 · outbound

This paper cites an unresolved cited work.

LegalGuardian: A Privacy-Preserving Framework for Secure Integration of Large Language Models in Legal Practice Unresolved cited work

Reference 16

Resolution: unresolved; raw_fallback, observed 2026-08-10T18:53:53.023207Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 46728bad-b5e1-4b53-8daf-7d33f2accc5e · outbound

This paper cites an unresolved cited work.

LegalGuardian: A Privacy-Preserving Framework for Secure Integration of Large Language Models in Legal Practice Unresolved cited work

Reference 17

Resolution: unresolved; raw_fallback, observed 2026-08-10T18:53:53.007933Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 67519004-d499-4814-ae9a-54edbed1abd9 · outbound

This paper cites an unresolved cited work.

LegalGuardian: A Privacy-Preserving Framework for Secure Integration of Large Language Models in Legal Practice Unresolved cited work

Reference 18

Resolution: unresolved; raw_fallback, observed 2026-08-10T18:53:52.993833Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 139bd959-449b-45b8-9680-ded324374c43 · outbound

This paper cites LegalBench: A Collaboratively Built Benchmark for Measuring Legal Reasoning in Large Language Models.

LegalGuardian: A Privacy-Preserving Framework for Secure Integration of Large Language Models in Legal Practice LegalBench: A Collaboratively Built Benchmark for Measuring Legal Reasoning in Large Language Models

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-10T18:53:52.471004Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 824af7e2-8790-44de-b7b5-13fdcbba6544 · outbound

This paper cites an unresolved cited work.

LegalGuardian: A Privacy-Preserving Framework for Secure Integration of Large Language Models in Legal Practice Unresolved cited work

Reference 20

Resolution: unresolved; raw_fallback, observed 2026-08-10T18:53:52.980727Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 578bad3d-d2a3-49e3-b042-567d8be3d0c1 · outbound

This paper cites an unresolved cited work.

LegalGuardian: A Privacy-Preserving Framework for Secure Integration of Large Language Models in Legal Practice Unresolved cited work

Reference 21

Resolution: unresolved; raw_fallback, observed 2026-08-10T18:53:52.967564Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 0b2a026e-6d0c-46ba-8288-ea81ab6c511f · outbound

This paper cites Advances and Open Problems in Federated Learning.

LegalGuardian: A Privacy-Preserving Framework for Secure Integration of Large Language Models in Legal Practice Advances and Open Problems in Federated Learning

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-10T18:53:52.484789Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 07f37d3d-983a-4cf7-92eb-2cc9c67672b3 · outbound

This paper cites Protecting User Privacy in Remote Conversational Systems: A Privacy-Preserving framework based on text sanitization.

LegalGuardian: A Privacy-Preserving Framework for Secure Integration of Large Language Models in Legal Practice Protecting User Privacy in Remote Conversational Systems: A Privacy-Preserving framework based on text sanitization

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-10T18:53:52.490026Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation faab535d-7f42-475f-8906-66abad6a3bc3 · outbound

This paper cites an unresolved cited work.

LegalGuardian: A Privacy-Preserving Framework for Secure Integration of Large Language Models in Legal Practice Unresolved cited work

Reference 24

Resolution: unresolved; raw_fallback, observed 2026-08-10T18:53:52.954495Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 134074b3-36b3-4d0b-a8d0-0c3ed370f4b2 · outbound

This paper cites an unresolved cited work.

LegalGuardian: A Privacy-Preserving Framework for Secure Integration of Large Language Models in Legal Practice Unresolved cited work

Reference 25

Resolution: unresolved; raw_fallback, observed 2026-08-10T18:53:52.940713Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 54d777ae-3169-4103-af8a-5346e76aeb1b · outbound

This paper cites MPCFormer: fast, performant and private Transformer inference with MPC.

LegalGuardian: A Privacy-Preserving Framework for Secure Integration of Large Language Models in Legal Practice MPCFormer: fast, performant and private Transformer inference with MPC

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-10T18:53:52.503640Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2d3bc09b-aa96-4ae3-bddd-71b3b557282f · outbound

This paper cites Large Language Models Can Be Strong Differentially Private Learners.

LegalGuardian: A Privacy-Preserving Framework for Secure Integration of Large Language Models in Legal Practice Large Language Models Can Be Strong Differentially Private Learners

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-10T18:53:52.508377Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1a2b14a0-c423-47e9-b035-348bbd1a19a5 · outbound

This paper cites EmojiPrompt: Generative Prompt Obfuscation for Privacy-Preserving Communication with Cloud-based LLMs.

LegalGuardian: A Privacy-Preserving Framework for Secure Integration of Large Language Models in Legal Practice EmojiPrompt: Generative Prompt Obfuscation for Privacy-Preserving Communication with Cloud-based LLMs

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-10T18:53:52.513046Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6c906795-9233-44f3-991e-5c6f45a2d1c3 · outbound

This paper cites an unresolved cited work.

LegalGuardian: A Privacy-Preserving Framework for Secure Integration of Large Language Models in Legal Practice Unresolved cited work

Reference 29

Resolution: unresolved; raw_fallback, observed 2026-08-10T18:53:52.926208Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 8cecbdba-2ed8-4b5d-b457-33541bc3028e · outbound

This paper cites Processing Long Legal Documents with Pre-trained Transformers: Modding LegalBERT and Longformer.

LegalGuardian: A Privacy-Preserving Framework for Secure Integration of Large Language Models in Legal Practice Processing Long Legal Documents with Pre-trained Transformers: Modding LegalBERT and Longformer

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-10T18:53:52.521228Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b3c362a2-cfa3-4861-892a-08ec24375bd7 · outbound

This paper cites Communication-Efficient Learning of Deep Networks from Decentralized Data.

LegalGuardian: A Privacy-Preserving Framework for Secure Integration of Large Language Models in Legal Practice Communication-Efficient Learning of Deep Networks from Decentralized Data

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-10T18:53:52.525628Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 66dfd64c-1fcb-4e6a-a5e5-467e1f80a743 · outbound

This paper cites an unresolved cited work.

LegalGuardian: A Privacy-Preserving Framework for Secure Integration of Large Language Models in Legal Practice Unresolved cited work

Reference 32

Resolution: unresolved; raw_fallback, observed 2026-08-10T18:53:52.912188Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 0f6382ae-e13c-4d7d-9e7b-8b70d49be343 · outbound

This paper cites an unresolved cited work.

LegalGuardian: A Privacy-Preserving Framework for Secure Integration of Large Language Models in Legal Practice Unresolved cited work

Reference 33

Resolution: unresolved; raw_fallback, observed 2026-08-10T18:53:52.897865Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation b9e3d255-73d3-47e2-b599-7781c2102e2c · outbound

This paper cites GPT-4 Technical Report.

LegalGuardian: A Privacy-Preserving Framework for Secure Integration of Large Language Models in Legal Practice GPT-4 Technical Report

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-10T18:53:52.538815Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6a2ad046-8310-4a05-ab6c-5a56e18974d1 · outbound

This paper cites an unresolved cited work.

LegalGuardian: A Privacy-Preserving Framework for Secure Integration of Large Language Models in Legal Practice Unresolved cited work

Reference 35

Resolution: unresolved; raw_fallback, observed 2026-08-10T18:53:52.882871Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation cb4d1c84-485e-4671-ae88-02623d5014d3 · outbound

This paper cites What Can ChatGPT Do ?.

LegalGuardian: A Privacy-Preserving Framework for Secure Integration of Large Language Models in Legal Practice What Can ChatGPT Do ?

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:53:52.867325Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 1f7775f6-8f7a-4131-bcef-992838c30f2d · outbound

This paper cites Large Language Model Prompt Chaining for Long Legal Document Classification.

LegalGuardian: A Privacy-Preserving Framework for Secure Integration of Large Language Models in Legal Practice Large Language Model Prompt Chaining for Long Legal Document Classification

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-10T18:53:52.551685Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6760c3e4-40a6-4fe0-90fb-21b6995c5e03 · outbound

This paper cites an unresolved cited work.

LegalGuardian: A Privacy-Preserving Framework for Secure Integration of Large Language Models in Legal Practice Unresolved cited work

Reference 38

Resolution: unresolved; raw_fallback, observed 2026-08-10T18:53:52.852152Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation c94e4241-686e-4707-8983-ee37f81c3a4a · outbound

This paper cites A.; Mudgerikar, A.; Singla, A.; Papapanagiotou, I.; et al.

LegalGuardian: A Privacy-Preserving Framework for Secure Integration of Large Language Models in Legal Practice A.; Mudgerikar, A.; Singla, A.; Papapanagiotou, I.; et al

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:53:52.837071Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 66d22837-0d9b-409a-8918-9db00e0516b0 · outbound

This paper cites an unresolved cited work.

LegalGuardian: A Privacy-Preserving Framework for Secure Integration of Large Language Models in Legal Practice Unresolved cited work

Reference 40

Resolution: unresolved; raw_fallback, observed 2026-08-10T18:53:52.823614Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation af2ba7a9-6240-484e-ad81-6c1cf37eb3e4 · outbound

This paper cites GLiNER: Generalist Model for Named Entity Recognition using Bidirectional Transformer.

LegalGuardian: A Privacy-Preserving Framework for Secure Integration of Large Language Models in Legal Practice GLiNER: Generalist Model for Named Entity Recognition using Bidirectional Transformer

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-10T18:53:52.571296Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 99e7b568-eb0a-49d3-8e96-e441b5ab6bf9 · outbound

This paper cites an unresolved cited work.

LegalGuardian: A Privacy-Preserving Framework for Secure Integration of Large Language Models in Legal Practice Unresolved cited work

Reference 42

Resolution: unresolved; raw_fallback, observed 2026-08-10T18:53:52.808867Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Pith citing papers

Observation 698e7913-ecad-4e45-8e27-880d1f2c8952 · inbound

Can Large Language Models Really Recognize Your Name? cites this paper.

Can Large Language Models Really Recognize Your Name? LegalGuardian: A Privacy-Preserving Framework for Secure Integration of Large Language Models in Legal Practice

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-22T14:01:38.516144Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 80acd523-689d-4ef7-8460-de03cb562d06 · inbound

Validate Your Authority: Benchmarking LLMs on Multi-Label Precedent Treatment Classification cites this paper.

Validate Your Authority: Benchmarking LLMs on Multi-Label Precedent Treatment Classification LegalGuardian: A Privacy-Preserving Framework for Secure Integration of Large Language Models in Legal Practice

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-05-20T12:28:16.527584Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.