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Paper Citation Record · LEDGER

Analyzing Images of Legal Documents: Toward Multi-Modal LLMs for Access to Justice

As of 24 August 2026, this Paper Citation Record lists 37 of 37 outbound references and 1 inbound Pith citation observation for arXiv:2412.15260.

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

pith.paper-citation-record.v1
2412.15260 v1

Coverage vector

measured 37 of 37 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T14:34:14.283200Z

measured 38 of 38 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-28T22:55:00.904065Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T19:16:00.613718Z

Reference resolution

37 of 37 outbound references displayed

  • verified exact4
  • verified fuzzy16
  • unresolved17
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f3da854a-1eae-4dab-9702-c6d85d163dd5 · outbound

This paper cites Currie, The legal problems of everyday life, in: Access to justice, Emerald Group Publishing Limited, 2009.

Analyzing Images of Legal Documents: Toward Multi-Modal LLMs for Access to Justice Currie, The legal problems of everyday life, in: Access to justice, Emerald Group Publishing Limited, 2009

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:34:15.095073Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-11T14:34:14.084046Z digest=sha256:674dd4f878f2d4e041bb4ed49f17fb75e238c6cf91398f70584133cfcb0c2af2

Observation 18db8738-6587-4147-bec3-e949edb5e25d · outbound

This paper cites Semple, The cost of seeking civil justice in canada, Can.

Analyzing Images of Legal Documents: Toward Multi-Modal LLMs for Access to Justice Semple, The cost of seeking civil justice in canada, Can

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:34:15.080967Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-11T14:34:14.093489Z digest=sha256:0d5e5c0a2add7540542cbe40874bd5366493e70657170c5130f8ea785a5e0914

Observation eeaac5d8-bcba-451f-b62c-7dac2bcf5c05 · outbound

This paper cites an unresolved cited work.

Analyzing Images of Legal Documents: Toward Multi-Modal LLMs for Access to Justice Unresolved cited work

Reference 3

Resolution
unresolved
raw_fallback, observed 2026-08-11T14:34:15.067970Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-11T14:34:14.098390Z digest=sha256:7a94a8560cedac771fcdbbf0c73a8d4fb311e6270a3e2b4f9bcc2c0b6816e7ed

Observation dd7da7e6-77e7-42b0-b4c8-18a2b971eb00 · outbound

This paper cites Macfarlane, The national self-represented litigants project: Identifying and meeting the needs of self-represented litigants final report (2013).

Analyzing Images of Legal Documents: Toward Multi-Modal LLMs for Access to Justice Macfarlane, The national self-represented litigants project: Identifying and meeting the needs of self-represented litigants final report (2013)

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:34:15.055438Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-11T14:34:14.103245Z digest=sha256:637d4847cc0d9eb29734d1bf94825c7c185e19b7896b92b8ad8b7314bc3b992f

Observation f46b61c8-0cca-4991-82a4-277956c913fb · outbound

This paper cites Branting, C.

Analyzing Images of Legal Documents: Toward Multi-Modal LLMs for Access to Justice Branting, C

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:34:15.041841Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-11T14:34:14.112755Z digest=sha256:facb9e1f2cd3087a37714a013bb015bedc9c29956c059a50d3d7819875bb1396

Observation a2f53142-0b7c-47e3-9dc0-83c2a3efb811 · outbound

This paper cites an unresolved cited work.

Analyzing Images of Legal Documents: Toward Multi-Modal LLMs for Access to Justice Unresolved cited work

Reference 6

Resolution
unresolved
raw_fallback, observed 2026-08-11T14:34:15.023298Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-11T14:34:14.119267Z digest=sha256:6117ae2b3c946da080834d2067de6056cfe6fd5ad8cad932b15e6813370a1633

Observation dbba48b9-1a3a-4508-bdf3-9f784dcc8458 · outbound

This paper cites Westermann, K.

Analyzing Images of Legal Documents: Toward Multi-Modal LLMs for Access to Justice Westermann, K

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-11T14:34:14.125886Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:34:14.125886Z digest=sha256:cc8c797f827bda8e86bfd27ec5a8e2b6744f9804132213f760412e3b8f8f803d

Observation bd3419a5-e683-4969-b481-c6324eb68661 · outbound

This paper cites Westermann, et al., Bridging the gap: Mapping layperson narratives to legal issues with language models, in: ASAIL 2023, 2023.

Analyzing Images of Legal Documents: Toward Multi-Modal LLMs for Access to Justice Westermann, et al., Bridging the gap: Mapping layperson narratives to legal issues with language models, in: ASAIL 2023, 2023

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:34:14.998685Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-11T14:34:14.130343Z digest=sha256:f6a54e67e3b43c16d0946a26e0dc211ebfcd0f0a879f10537f152d9c648c0c79

Observation af04e244-6701-440e-9367-585353958222 · outbound

This paper cites Weaving Pathways for Justice with GPT: LLM-driven automated drafting of interactive legal applications.

Analyzing Images of Legal Documents: Toward Multi-Modal LLMs for Access to Justice Weaving Pathways for Justice with GPT: LLM-driven automated drafting of interactive legal applications

Reference 9

Resolution
verified exact
local_arxiv, observed 2026-08-11T14:34:14.519311Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-11T14:34:14.136011Z digest=sha256:bf0c7f4f49bc832801f4bdda92885f41ade58834192a7bddf361f161faa15e55

Observation 37a35f07-8785-4a10-a4ef-d00ed01f270b · outbound

This paper cites Westermann, Dallma: Semi-structured legal reasoning and drafting with large language models, 2nd Workshop on Generative AI and Law (2024).

Analyzing Images of Legal Documents: Toward Multi-Modal LLMs for Access to Justice Westermann, Dallma: Semi-structured legal reasoning and drafting with large language models, 2nd Workshop on Generative AI and Law (2024)

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:34:14.982344Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-11T14:34:14.142059Z digest=sha256:a4ddf44a9947f9e0e122e1cddca45c87bfde1e0e2feba69cbf16f13b8a233083

Observation 956ded96-69c7-419d-8775-4892cc27c7b4 · outbound

This paper cites Paquin, F.

Analyzing Images of Legal Documents: Toward Multi-Modal LLMs for Access to Justice Paquin, F

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:34:14.967889Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-11T14:34:14.149411Z digest=sha256:7b6700daccc78fa221ec683675114c1b29059b3a88ef8e731e2a230004280a22

Observation afe8c348-6853-4ce3-8c55-cb3323ef15e8 · outbound

This paper cites an unresolved cited work.

Analyzing Images of Legal Documents: Toward Multi-Modal LLMs for Access to Justice Unresolved cited work

Reference 12

Resolution
unresolved
raw_fallback, observed 2026-08-11T14:34:14.954718Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-11T14:34:14.154558Z digest=sha256:a026d8299197349e8546fbf3631b76ddc4c33eebf23b3fd0c8f24f4281be3566

Observation 590a1176-fa28-45d8-9955-5576014ff020 · outbound

This paper cites Zeleznikow, Using web-based legal decision support systems to improve access to justice, Information & Communications Technology Law 11 (2002) 15–33.

Analyzing Images of Legal Documents: Toward Multi-Modal LLMs for Access to Justice Zeleznikow, Using web-based legal decision support systems to improve access to justice, Information & Communications Technology Law 11 (2002) 15–33

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:34:14.932608Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-11T14:34:14.159452Z digest=sha256:bcad5d8d03477cf8dba7930d9c4dc1134ae9e14f80b011b41956a5456937aa4e

Observation 302710d8-53d4-48cb-9acf-e90d2309a6f1 · outbound

This paper cites Westermann, Using artificial intelligence to increase access to justice, Ph.D.

Analyzing Images of Legal Documents: Toward Multi-Modal LLMs for Access to Justice Westermann, Using artificial intelligence to increase access to justice, Ph.D

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:34:14.916702Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-11T14:34:14.165827Z digest=sha256:a833178c3824334dfa46afdc6dd111a5eaa646c644b9a81e667e8bed4dc330f9

Observation 9db805bc-ebdf-4ab9-bd77-e23910d51cbc · outbound

This paper cites Westermann, S.

Analyzing Images of Legal Documents: Toward Multi-Modal LLMs for Access to Justice Westermann, S

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:34:14.901215Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-11T14:34:14.172557Z digest=sha256:e0aeb84dcd2e2fcd4ba7adb902b58126ab5e2cb3aeb1b811720cf0ffec7734da

Observation 30ca4c5c-d3e9-4599-b4dd-4f25ba105c0d · outbound

This paper cites Steenhuis, B.

Analyzing Images of Legal Documents: Toward Multi-Modal LLMs for Access to Justice Steenhuis, B

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:34:14.887528Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-11T14:34:14.177586Z digest=sha256:ecaf27698f4fb348e28f43eabd9b75b7575acaa8796573419e381058cb9ace52

Observation f3309e8f-5ca3-4b53-bc10-1b95f4511ec1 · outbound

This paper cites Branting, S.

Analyzing Images of Legal Documents: Toward Multi-Modal LLMs for Access to Justice Branting, S

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:34:14.869876Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-11T14:34:14.181828Z digest=sha256:576cf89344811c8cdccd1a5937ac5ff782b60a9af294fdef4a517437a020e2c9

Observation 23f9105e-6b00-4e18-bdf7-3debc7bf186f · outbound

This paper cites GPT-4 Technical Report.

Analyzing Images of Legal Documents: Toward Multi-Modal LLMs for Access to Justice GPT-4 Technical Report

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-11T14:34:14.186106Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:34:14.186106Z digest=sha256:0a9b2935c9c7910540267f3c65918053f12c364b49503ae9d22a7ca07e679d84

Observation 7da2bb0f-40e5-4c33-84f8-bd12a5688bf1 · outbound

This paper cites an unresolved cited work.

Analyzing Images of Legal Documents: Toward Multi-Modal LLMs for Access to Justice Unresolved cited work

Reference 19

Resolution
unresolved
raw_fallback, observed 2026-08-11T14:34:14.853478Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-11T14:34:14.190535Z digest=sha256:204bc019aa27aef3c9aa82ca0747f8c1982e41d72c01b27194c96b786e7c7a10

Observation a9c9ca5d-a415-47c9-a3f8-74e920ca51c9 · outbound

This paper cites an unresolved cited work.

Analyzing Images of Legal Documents: Toward Multi-Modal LLMs for Access to Justice Unresolved cited work

Reference 20

Resolution
unresolved
raw_fallback, observed 2026-08-11T14:34:14.836626Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-11T14:34:14.201490Z digest=sha256:1eb0dc261ccd831b7597f2ba3b03615f4a5287a05050e8109b5f1fba7cf1b69f

Observation 75f2b624-a80d-484b-9447-ae8716303166 · outbound

This paper cites an unresolved cited work.

Analyzing Images of Legal Documents: Toward Multi-Modal LLMs for Access to Justice Unresolved cited work

Reference 21

Resolution
unresolved
raw_fallback, observed 2026-08-11T14:34:14.820008Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-11T14:34:14.206962Z digest=sha256:44fedaa6b26ea1cde71ab7a090685504d4f45b3a75bfb52e3d569d89266a5dc1

Observation d4e9bc22-bb67-46b1-81bc-d9231932c9d1 · outbound

This paper cites Blair-Stanek, N.

Analyzing Images of Legal Documents: Toward Multi-Modal LLMs for Access to Justice Blair-Stanek, N

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:34:14.805207Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-11T14:34:14.212136Z digest=sha256:7e1fb422b6f1555e0bf522406ebff044deb1ae57ce2172c88bd8d889f017a34f

Observation 36bbd697-6a34-4fb8-bbfb-d2f8c2e6516f · outbound

This paper cites Black-Box Analysis: GPTs Across Time in Legal Textual Entailment Task.

Analyzing Images of Legal Documents: Toward Multi-Modal LLMs for Access to Justice Black-Box Analysis: GPTs Across Time in Legal Textual Entailment Task

Reference 23

Resolution
verified exact
local_arxiv, observed 2026-08-11T14:34:14.480751Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-11T14:34:14.216448Z digest=sha256:bf3542e5ff75d09dd170f7e19dc17312302acc0dbd749ce3f6c10e66dcbe8670

Observation 99e91038-e7e8-4ecb-a913-819b30097912 · outbound

This paper cites Blind Judgement: Agent-Based Supreme Court Modelling With GPT.

Analyzing Images of Legal Documents: Toward Multi-Modal LLMs for Access to Justice Blind Judgement: Agent-Based Supreme Court Modelling With GPT

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-11T14:34:14.221457Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:34:14.221457Z digest=sha256:838ec64f4df0f260414a9361474998f24bb39fd58a360e9e4c52ffa1ac53d59b

Observation b9465e44-01e6-49a6-9efa-8e2d6f91ad85 · outbound

This paper cites Savelka, K.

Analyzing Images of Legal Documents: Toward Multi-Modal LLMs for Access to Justice Savelka, K

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:34:14.788865Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-11T14:34:14.227449Z digest=sha256:c97bc67d661c94d122057d75483765375917b1bc53c983c4393796c0e88ac266

Observation 5c875c1b-f972-4658-bde6-0eaff458be11 · outbound

This paper cites an unresolved cited work.

Analyzing Images of Legal Documents: Toward Multi-Modal LLMs for Access to Justice Unresolved cited work

Reference 26

Resolution
unresolved
raw_fallback, observed 2026-08-11T14:34:14.771836Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-11T14:34:14.232148Z digest=sha256:54d3a8f5547ca9b7aa487506bb1182f05792b7807f7f2ec30583ba985e7c951c

Observation 1f1246fb-2f08-4739-9c54-bdba3e9e1100 · outbound

This paper cites Unlocking Practical Applications in Legal Domain: Evaluation of GPT for Zero-Shot Semantic Annotation of Legal Texts.

Analyzing Images of Legal Documents: Toward Multi-Modal LLMs for Access to Justice Unlocking Practical Applications in Legal Domain: Evaluation of GPT for Zero-Shot Semantic Annotation of Legal Texts

Reference 27

Resolution
verified exact
local_arxiv, observed 2026-08-11T14:34:14.437311Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-11T14:34:14.237261Z digest=sha256:57f10634716e91a1d191b2c8bf55a6478ff66a7b6be252f852d37af5a00ea686

Observation f98fa417-bba2-40fb-b61c-eed3aea2ac87 · outbound

This paper cites Savelka, K.

Analyzing Images of Legal Documents: Toward Multi-Modal LLMs for Access to Justice Savelka, K

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-11T14:34:14.243408Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:34:14.243408Z digest=sha256:14b021839c72cb164d5ef5c2fa6b4dbc737c4c327c666c477a4f7a444dda8235

Observation 31509cc2-a7b7-49de-9483-61268ae8df90 · outbound

This paper cites Explaining Legal Concepts with Augmented Large Language Models (GPT-4).

Analyzing Images of Legal Documents: Toward Multi-Modal LLMs for Access to Justice Explaining Legal Concepts with Augmented Large Language Models (GPT-4)

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-11T14:34:14.249895Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:34:14.249895Z digest=sha256:7fc950452999c91f10858523ccae2b6829f0fac97e4b4561b2206cc7859266d5

Observation cdf7b608-c117-4a27-bdca-46a7171a00d5 · outbound

This paper cites Westermann, J.

Analyzing Images of Legal Documents: Toward Multi-Modal LLMs for Access to Justice Westermann, J

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:34:14.741866Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-11T14:34:14.255056Z digest=sha256:094b151716bb1786e4622c8a421323ec5d48ba4902f19546a678fa7c0a043198

Observation e8229aab-f6cf-4b61-b3e7-82f505f4c2fe · outbound

This paper cites Robots in the Middle: Evaluating LLMs in Dispute Resolution.

Analyzing Images of Legal Documents: Toward Multi-Modal LLMs for Access to Justice Robots in the Middle: Evaluating LLMs in Dispute Resolution

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-11T14:34:14.260538Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:34:14.260538Z digest=sha256:34895355d58aae5818db1c08eef2b3e6e9f6d59f92bf4c6d7bf679b1822c486b

Observation 0b4f5758-cecb-4640-8210-05735ba236c1 · outbound

This paper cites an unresolved cited work.

Analyzing Images of Legal Documents: Toward Multi-Modal LLMs for Access to Justice Unresolved cited work

Reference 32

Resolution
unresolved
raw_fallback, observed 2026-08-11T14:34:14.718596Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-11T14:34:14.265526Z digest=sha256:afe8e6da580c269952c0a98362534f114c15d87d0b5d247255392b1847b6dda6

Observation 6af7f086-abcd-4342-aa58-414a402f1fb8 · outbound

This paper cites Janatian, H.

Analyzing Images of Legal Documents: Toward Multi-Modal LLMs for Access to Justice Janatian, H

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:34:14.694270Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-11T14:34:14.270289Z digest=sha256:8256e8e417e366e75c15e332b92c85deabed3b0c5315e742604b744042438029

Observation f791dee8-1111-4120-8f54-fb22e570e44b · outbound

This paper cites Getting in the Door: Streamlining Intake in Civil Legal Services with Large Language Models.

Analyzing Images of Legal Documents: Toward Multi-Modal LLMs for Access to Justice Getting in the Door: Streamlining Intake in Civil Legal Services with Large Language Models

Reference 34

Resolution
verified exact
local_arxiv, observed 2026-08-11T14:34:14.373494Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-11T14:34:14.274464Z digest=sha256:558b981fd1d04d3d2a8a1b76acdc3496e185dcfe8525a545ccce0e747b0525e9

Observation 399c5f93-4e48-43dc-a5d6-2dcef2fecda7 · outbound

This paper cites Using Large Language Models to Support Thematic Analysis in Empirical Legal Studies.

Analyzing Images of Legal Documents: Toward Multi-Modal LLMs for Access to Justice Using Large Language Models to Support Thematic Analysis in Empirical Legal Studies

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-11T14:34:14.278911Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:34:14.278911Z digest=sha256:dae3eeb7aeb78d399f019f48fcda73d5c2f1baab2fc6b825b00b1d996de7570a

Observation 382309b6-3dae-484e-887f-b0f540575432 · outbound

This paper cites Using LLMs to Discover Legal Factors.

Analyzing Images of Legal Documents: Toward Multi-Modal LLMs for Access to Justice Using LLMs to Discover Legal Factors

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-11T14:34:14.283200Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:34:14.283200Z digest=sha256:1c74ac236f5a59f555f27895810623644dd74b0587c63c0eb1e5fa021a21f884

Observation 81c5179e-f06b-409c-a8ec-8e3f3fe99b35 · outbound

This paper cites Legal Prompting: Teaching a Language Model to Think Like a Lawyer.

Analyzing Images of Legal Documents: Toward Multi-Modal LLMs for Access to Justice Legal Prompting: Teaching a Language Model to Think Like a Lawyer

Reference 2022

Resolution
unresolved
no resolver link, observed 2026-08-11T14:34:14.194914Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:34:14.194914Z digest=sha256:06ead9bcae13c6db83a57c85739cedeeb9e07a919592d2dae760d1582f3f3be5

Pith citing papers

Observation 724a69b5-d926-4ac6-b7b3-84c68a7f7ae0 · inbound

Can You Trust What You See? Human and AI Detection of Synthetic Legal Evidence cites this paper.

Can You Trust What You See? Human and AI Detection of Synthetic Legal Evidence Analyzing Images of Legal Documents: Toward Multi-Modal LLMs for Access to Justice

Reference 71

Resolution
verified exact
arxiv_id, observed 2026-07-01T19:16:00.615150Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-06-28T22:55:00.904065Z digest=sha256:7c8c2d40c9b816222263aa10be768bb61a95393756adb62a27ec80e7e361a939