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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 19 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 2026-08-19T06:32:44.657259+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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T00:41:13.302074Z digest=sha256:c7ec27e55dbdda058b3c18097a5a2058ccdefc8ffc134bd0733a20f010bafab8

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=sha256:9712b6bdb27bbcfe75bd28e6a78c5fbb31968aabc0652cf7593d9e0a241b59fa

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=sha256:84a8d7cf990c6fb19ffa3e18c562bcb5c69a854a9613b330431019f87207c1b9

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T00:41:13.548281Z digest=sha256:45b3df05365b605e5b58433cf8889a08be65f4b8f5f1f7a0828d86f15a7763aa

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=sha256:17c8768fed890de93b5b4e7343c45692dfd3fe6e6562e9cd52f2fac83b2c3709

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T00:41:13.700473Z digest=sha256:3a6fc51c71e2ec7fdda5107e886152ab576c5e5cf20abaeaf6e27c7a78ad39a9

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=sha256:6c1a10b267732100ed57a2cc149f71c143dbd2a0510d00bf70ba508875914c5c

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=sha256:19ea1e1da77f34c6f6a555e55da107c544ce69519ff3dbe833e46571cd1d2086

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:ced31253c206c5720d52c9b4f3c0a074174fbd85c3ffb0dddee97d58ffa76a91

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.

source=pdf_text observed=2026-08-07T00:41:13.941890Z digest=sha256:0c7c0a45841430738f68e14379b51915a27e7a939e61add2865b8b43bfb82c91

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:a9f5db61c6102ae43677906da8a0c993bd8e89ff33780a6e39df63abeb5d5f7b

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=sha256:4167b474f3dac934e73763c73b249a22c238fff58b4eef42a1286b3ecc8a230c

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 2026-08-19T06:32:44.657259+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=sha256:8a318a5ce329351954640a3873157bd829dce75a1f9d135f96d58884ac531ae9

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=sha256:30804379e3def16eb4a5468872110c50c7c2d58ffd977324c82b491bedbc3852

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=sha256:6f0c6a0429bcd9dfe732299c92390e9919fa17f12f5fb614408a434258da8655

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T00:41:14.508407Z digest=sha256:6e4f01993b6c68741001af541d3255635ceba48a654a4cf3bb8337412aef3798

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.

source=pdf_text observed=2026-08-07T00:41:14.578262Z digest=sha256:0e0847d733811de62d21ca66c0d18158e2d5f4f40b124d519c6bebfa4a1e8ffe

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 2026-08-19T06:32:44.657259+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 2026-08-19T06:32:44.657259+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 2026-08-19T06:32:44.657259+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
raw_fallback, observed 2026-08-07T00:41:16.656881Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T00:41:15.214099Z digest=sha256:722aa2771d36f7396d52a349c04346e30655caa53563f1642e963dec22dc4154

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T00:41:14.248401Z digest=sha256:017d7c08b15e8a6d5d75ad2cd977a6e253af7851789f06833a5c9be7badf3e26

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T00:41:15.090444Z digest=sha256:190f807038e1869b34f9701beb5e4e216fce2e3a91dbdd6941296e428c9029ab

Pith citing papers

No inbound Pith citation observations are available.