Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-10T18:53:52.576204Z
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.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-05-22T13:57:23.152504Z
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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+00:00.