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Paper Citation Record · LEDGER

Assessing the Performance Gap Between Lexical and Semantic Models for Information Retrieval With Formulaic Legal Language

As of 8 August 2026, this Paper Citation Record lists 26 of 26 outbound references and 0 inbound Pith citation observations for arXiv:2506.12895.

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

pith.paper-citation-record.v1
2506.12895 v1

Coverage vector

measured 26 of 26 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T00:41:15.214099Z

measured 26 of 26 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 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

26 of 26 outbound references displayed

  • verified exact2
  • verified fuzzy2
  • unresolved21
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d87907a8-2c43-4434-a512-8fca7919f936 · outbound

This paper cites an unresolved cited work.

Assessing the Performance Gap Between Lexical and Semantic Models for Information Retrieval With Formulaic Legal Language Unresolved cited work

Reference 1

Resolution
unresolved
raw_fallback, observed 2026-08-07T00:41:17.844989Z

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.

source=pdf_text observed=2026-08-07T00:41:13.302074Z digest=sha256:6023c4e22897d663a47d4cceaafd6e7643632f22af35f7125e784765157a30c7

Observation 74df3e4b-f61b-46f9-810e-61aa5beb0546 · outbound

This paper cites an unresolved cited work.

Assessing the Performance Gap Between Lexical and Semantic Models for Information Retrieval With Formulaic Legal Language Unresolved cited work

Reference 2

Resolution
malformed identifier
no resolver link, observed 2026-08-07T00:41:13.388255Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:41:13.388255Z digest=sha256:5fdf39056dd8b8a59b80f4c6a3322f04905f7b09c684f3d561a3b8eab4d8ece5

Observation b6f0dba4-0b23-4477-9e4c-4821e24787b1 · outbound

This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.

Assessing the Performance Gap Between Lexical and Semantic Models for Information Retrieval With Formulaic Legal Language BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-07T00:41:13.479192Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:41:13.479192Z digest=sha256:50be0aa79113712c241da6a2b49013fe5089ed47f3492c2b02d781a9ad3694ff

Observation f0771841-e639-4fee-bff7-58e52183dc5a · outbound

This paper cites an unresolved cited work.

Assessing the Performance Gap Between Lexical and Semantic Models for Information Retrieval With Formulaic Legal Language Unresolved cited work

Reference 4

Resolution
unresolved
raw_fallback, observed 2026-08-07T00:41:17.650624Z

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.

source=pdf_text observed=2026-08-07T00:41:13.548281Z digest=sha256:f389168a4f0dc208117bc660c6c77f1c62a813e3c1f9689cadf6bf17e1fe5bd3

Observation 9a5f99e0-7a39-42fb-abfd-53b0cbb8f0ee · outbound

This paper cites an unresolved cited work.

Assessing the Performance Gap Between Lexical and Semantic Models for Information Retrieval With Formulaic Legal Language Unresolved cited work

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-07T00:41:13.632739Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:41:13.632739Z digest=sha256:5a4bb4dc9b84c0b6be2471611068c17f923a4393db5f26ea4d8c3b2d57d937a1

Observation 354b405c-cd37-4693-9edf-24468babe578 · outbound

This paper cites an unresolved cited work.

Assessing the Performance Gap Between Lexical and Semantic Models for Information Retrieval With Formulaic Legal Language Unresolved cited work

Reference 6

Resolution
unresolved
raw_fallback, observed 2026-08-07T00:41:17.470331Z

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.

source=pdf_text observed=2026-08-07T00:41:13.700473Z digest=sha256:56bb6ddf1ab7951f78e1d07f633cea2d0f23525178d951c2db9704a6744b46cc

Observation 6d3975c2-90f7-4610-9bb9-98ca856882c2 · outbound

This paper cites Efficient Natural Language Response Suggestion for Smart Reply.

Assessing the Performance Gap Between Lexical and Semantic Models for Information Retrieval With Formulaic Legal Language Efficient Natural Language Response Suggestion for Smart Reply

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-07T00:41:13.750056Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:41:13.750056Z digest=sha256:7187e1da6520bef1d3db0dab3db544d03d76c19a31e3c126a5b93adfb1289118

Observation 44a3d3ee-ff00-40a8-9d28-33ae38cba54d · outbound

This paper cites CLERC: A Dataset for Legal Case Retrieval and Retrieval-Augmented Analysis Generation.

Assessing the Performance Gap Between Lexical and Semantic Models for Information Retrieval With Formulaic Legal Language CLERC: A Dataset for Legal Case Retrieval and Retrieval-Augmented Analysis Generation

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-07T00:41:13.810646Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:41:13.810646Z digest=sha256:8efc621fa988432e8d0feeaf53bf47b0f1882037ec58e1388db44ef15eea436a

Observation 18c6e1de-191e-46b0-8c2e-d54e39504cee · outbound

This paper cites Billion-scale similarity search with GPUs.

Assessing the Performance Gap Between Lexical and Semantic Models for Information Retrieval With Formulaic Legal Language Billion-scale similarity search with GPUs

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-07T00:41:13.874375Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:41:13.874375Z digest=sha256:fa0efd915e474b48b43a05c27c7b6a74712c45d14c1bc4903770dcd23febf1c2

Observation d830e38d-c5da-4da3-aac0-1d74463a9928 · outbound

This paper cites Dense Passage Retrieval for Open-Domain Question Answering.

Assessing the Performance Gap Between Lexical and Semantic Models for Information Retrieval With Formulaic Legal Language Dense Passage Retrieval for Open-Domain Question Answering

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-07T00:41:13.941890Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 5d66b708-ef83-47e9-b90f-92b0f0fdef14 · outbound

This paper cites Latent Retrieval for Weakly Supervised Open Domain Question Answering.

Assessing the Performance Gap Between Lexical and Semantic Models for Information Retrieval With Formulaic Legal Language Latent Retrieval for Weakly Supervised Open Domain Question Answering

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-07T00:41:14.006223Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:41:14.006223Z digest=sha256:b6a49c3cb08af209c1f989addc22131112ed195624123f7786e51f1d0836cb6b

Observation 8723b885-ff98-49a2-8f85-a404b8def088 · outbound

This paper cites Case law retrieval: problems, methods, challenges and evaluations in the last 20 years.

Assessing the Performance Gap Between Lexical and Semantic Models for Information Retrieval With Formulaic Legal Language Case law retrieval: problems, methods, challenges and evaluations in the last 20 years

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-07T00:41:14.057279Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:41:14.057279Z digest=sha256:e3b3ef1d752ae514acd5dbdf3b02096bffddce78fabea2eca53427d84a6ab324

Observation 38323b5e-f10a-4866-afe7-8efd182eb4f6 · outbound

This paper cites an unresolved cited work.

Assessing the Performance Gap Between Lexical and Semantic Models for Information Retrieval With Formulaic Legal Language Unresolved cited work

Reference 13

Resolution
unresolved
raw_fallback, observed 2026-08-07T00:41:17.322556Z

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.

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Observation 6aee9c22-350e-4514-970a-f50effda2c73 · outbound

This paper cites an unresolved cited work.

Assessing the Performance Gap Between Lexical and Semantic Models for Information Retrieval With Formulaic Legal Language Unresolved cited work

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-07T00:41:14.302631Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:41:14.302631Z digest=sha256:3ecc8288e5cd73dd327d29f44641f68245bcac12398b734f3fda06eb1ad7e10e

Observation e5d91d9b-994e-47f4-a227-643305344e28 · outbound

This paper cites Nomic Embed: Training a Reproducible Long Context Text Embedder.

Assessing the Performance Gap Between Lexical and Semantic Models for Information Retrieval With Formulaic Legal Language Nomic Embed: Training a Reproducible Long Context Text Embedder

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-07T00:41:14.397251Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:41:14.397251Z digest=sha256:0c0475fb0b56f017b001fe3f36fa85e6354f7367eb4f696f6b58b6bb5d47e06f

Observation 5d4fd6e9-5494-49a7-8be8-2ecffaf9b517 · outbound

This paper cites an unresolved cited work.

Assessing the Performance Gap Between Lexical and Semantic Models for Information Retrieval With Formulaic Legal Language Unresolved cited work

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-07T00:41:14.457171Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:41:14.457171Z digest=sha256:ddbf44fadefec94d66d4e475fed2994ac10dad5cfb38660359c10dd5a1fd44c1

Observation a55048fa-4802-4732-be70-9d8c8dd530d3 · outbound

This paper cites an unresolved cited work.

Assessing the Performance Gap Between Lexical and Semantic Models for Information Retrieval With Formulaic Legal Language Unresolved cited work

Reference 17

Resolution
unresolved
raw_fallback, observed 2026-08-07T00:41:17.230247Z

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.

source=pdf_text observed=2026-08-07T00:41:14.508407Z digest=sha256:064bc1f7a552b01e30915b3027aea67371edd70b6458ab4288be3d372174bbbc

Observation 4b73fa82-2649-41f5-b197-b8f89f4eda95 · outbound

This paper cites Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks.

Assessing the Performance Gap Between Lexical and Semantic Models for Information Retrieval With Formulaic Legal Language Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-07T00:41:14.578262Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation f804e790-f1e8-4dd4-abeb-9667f6559a2d · outbound

This paper cites an unresolved cited work.

Assessing the Performance Gap Between Lexical and Semantic Models for Information Retrieval With Formulaic Legal Language Unresolved cited work

Reference 19

Resolution
unresolved
raw_fallback, observed 2026-08-07T00:41:17.097982Z

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.

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Observation 152c570a-af60-480c-b4fe-a18d8a664b65 · outbound

This paper cites Yes, BM25 is a Strong Baseline for Legal Case Retrieval.

Assessing the Performance Gap Between Lexical and Semantic Models for Information Retrieval With Formulaic Legal Language Yes, BM25 is a Strong Baseline for Legal Case Retrieval

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-07T00:41:14.741718Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation dcedb408-c127-4bf1-9ee9-f0677fd57cad · outbound

This paper cites an unresolved cited work.

Assessing the Performance Gap Between Lexical and Semantic Models for Information Retrieval With Formulaic Legal Language Unresolved cited work

Reference 21

Resolution
verified exact
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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.

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Observation f27795c9-b2b7-4506-8dc8-cdb04015db00 · outbound

This paper cites an unresolved cited work.

Assessing the Performance Gap Between Lexical and Semantic Models for Information Retrieval With Formulaic Legal Language Unresolved cited work

Reference 22

Resolution
unresolved
raw_fallback, observed 2026-08-07T00:41:16.899577Z

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.

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Observation f471dfcf-714f-48ae-a792-1290230115eb · outbound

This paper cites an unresolved cited work.

Assessing the Performance Gap Between Lexical and Semantic Models for Information Retrieval With Formulaic Legal Language Unresolved cited work

Reference 23

Resolution
unresolved
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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.

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Observation c67a4942-19ed-4a25-bc90-09051bfdf186 · outbound

This paper cites ecting the !nancial interests of the European Union in customs mat- ters. It added, in the same point, that it is for the national court to give full e.

Assessing the Performance Gap Between Lexical and Semantic Models for Information Retrieval With Formulaic Legal Language ecting the !nancial interests of the European Union in customs mat- ters. It added, in the same point, that it is for the national court to give full e

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:41:16.203654Z

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.

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Observation b5f2507f-8f8d-4845-a9e2-a26092245094 · outbound

This paper cites LePaRD: A Large-Scale Dataset of Judges Citing Precedents.

Assessing the Performance Gap Between Lexical and Semantic Models for Information Retrieval With Formulaic Legal Language LePaRD: A Large-Scale Dataset of Judges Citing Precedents

Reference 2023

Resolution
verified exact
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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.

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Observation 2cbac9de-3b1d-42f8-b964-575778b208ca · outbound

This paper cites Each deci- sion that has at least one citation has an average of 13.09 outbound citations, with standard deviation of 13.64.

Assessing the Performance Gap Between Lexical and Semantic Models for Information Retrieval With Formulaic Legal Language Each deci- sion that has at least one citation has an average of 13.09 outbound citations, with standard deviation of 13.64

Reference 5483

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:41:16.426610Z

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.

source=pdf_text observed=2026-08-07T00:41:15.090444Z digest=sha256:27e0f1c10a6c0f4ace7f5f833da6e85721326add5e0a898b96f075404b8b8e92

Pith citing papers

No inbound Pith citation observations are available.