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Paper Citation Record · LEDGER

Entity Resolution via Batched Oracle Queries

As of 10 August 2026, this Paper Citation Record lists 52 of 52 outbound references and 1 inbound Pith citation observation for arXiv:2606.24407.

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

pith.paper-citation-record.v1
2606.24407 v1

Coverage vector

measured 52 of 52 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-25T21:56:18.157156Z

measured 53 of 53 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-31T07:54:37.094746Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

52 of 52 outbound references displayed

  • verified exact5
  • verified fuzzy0
  • unresolved47
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a25da985-7800-46c9-9070-972a416d1823 · outbound

This paper cites An overview of end-to-end entity resolution for big data,.

Entity Resolution via Batched Oracle Queries An overview of end-to-end entity resolution for big data,

Reference 1

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Observation 5781dcec-f1d6-4eae-a3e9-d5f35b3f38e3 · outbound

This paper cites Effective entity matching with transformers,.

Entity Resolution via Batched Oracle Queries Effective entity matching with transformers,

Reference 2

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Observation 4f05349d-213c-4dd9-8730-c51fa64828f0 · outbound

This paper cites Progres- sive entity matching: A design space exploration,.

Entity Resolution via Batched Oracle Queries Progres- sive entity matching: A design space exploration,

Reference 3

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Observation 8365114d-0c0d-4ef3-8030-684b6ad1d41b · outbound

This paper cites Three-dimensional entity resolution with jedai,.

Entity Resolution via Batched Oracle Queries Three-dimensional entity resolution with jedai,

Reference 4

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Observation e2ecb0e0-8d65-403b-80d2-cef0dcb8efb9 · outbound

This paper cites Magellan: toward building ecosystems of entity matching solutions,.

Entity Resolution via Batched Oracle Queries Magellan: toward building ecosystems of entity matching solutions,

Reference 5

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Observation e3268b15-c2d5-4ab1-81e5-9ef3f2f3c7a4 · outbound

This paper cites Deepblock: A novel blocking approach for entity resolution using deep learning,.

Entity Resolution via Batched Oracle Queries Deepblock: A novel blocking approach for entity resolution using deep learning,

Reference 6

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Observation fa04d2b0-c60e-4005-86c9-4337e560028a · outbound

This paper cites Pay-as-you-go entity resolution,.

Entity Resolution via Batched Oracle Queries Pay-as-you-go entity resolution,

Reference 7

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Observation 94db2451-a8d5-41dc-9f13-0216679eb2ac · outbound

This paper cites Aspdup: Ast-sequence- based progressive duplicate code detection tool for onsite programming code,.

Entity Resolution via Batched Oracle Queries Aspdup: Ast-sequence- based progressive duplicate code detection tool for onsite programming code,

Reference 8

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Observation 0131da47-67ce-4b63-a22f-b5eaed3f5ff9 · outbound

This paper cites Schema- agnostic progressive entity resolution,.

Entity Resolution via Batched Oracle Queries Schema- agnostic progressive entity resolution,

Reference 9

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Observation b2b78580-2f32-4f4d-b9d5-b6a5627f2ab7 · outbound

This paper cites Online entity resolution using an oracle,.

Entity Resolution via Batched Oracle Queries Online entity resolution using an oracle,

Reference 10

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Observation 68e69a0d-50f8-4643-a231-a9d9074ccd71 · outbound

This paper cites A theory for record linkage,.

Entity Resolution via Batched Oracle Queries A theory for record linkage,

Reference 11

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Observation f9c421f7-310e-4137-9ad1-5b90189208d8 · outbound

This paper cites Set transformer: A framework for attention-based permutation-invariant neural networks,.

Entity Resolution via Batched Oracle Queries Set transformer: A framework for attention-based permutation-invariant neural networks,

Reference 12

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Observation 7175a718-f1ca-4160-8cb2-747a3fa4adda · outbound

This paper cites Match, compare, or select? an investigation of large language models for entity matching,.

Entity Resolution via Batched Oracle Queries Match, compare, or select? an investigation of large language models for entity matching,

Reference 13

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Observation 2451007f-a1f4-48c7-8c49-a8199e84e54c · outbound

This paper cites Crowder: Crowdsourc- ing entity resolution,.

Entity Resolution via Batched Oracle Queries Crowder: Crowdsourc- ing entity resolution,

Reference 14

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Observation 48c2519d-e408-4fb2-933e-ab2bee480968 · outbound

This paper cites Facenet: A unified embed- ding for face recognition and clustering,.

Entity Resolution via Batched Oracle Queries Facenet: A unified embed- ding for face recognition and clustering,

Reference 15

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Observation b5414c81-dd8a-405c-b38a-64b8c4da0748 · outbound

This paper cites Waldo: An adaptive human interface for crowd entity resolution,.

Entity Resolution via Batched Oracle Queries Waldo: An adaptive human interface for crowd entity resolution,

Reference 16

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Observation d08c1403-e4b6-450b-b0a7-2e99084dcbc8 · outbound

This paper cites Training language models to follow instructions with human feedback.

Entity Resolution via Batched Oracle Queries Training language models to follow instructions with human feedback

Reference 17

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Observation fed63b2b-c9ff-46eb-8515-943fa44e62b7 · outbound

This paper cites A demonstration of PERC: probabilistic entity resolution with crowd errors,.

Entity Resolution via Batched Oracle Queries A demonstration of PERC: probabilistic entity resolution with crowd errors,

Reference 18

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Observation 50dc41ca-7e3a-4464-9d65-a2f4bcef87ea · outbound

This paper cites Robust entity resolution using a crowdoracle,.

Entity Resolution via Batched Oracle Queries Robust entity resolution using a crowdoracle,

Reference 19

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Observation 6d48f8a9-84dd-463f-81a6-ee18f493e5b9 · outbound

This paper cites Crowd-based deduplication: An adaptive approach,.

Entity Resolution via Batched Oracle Queries Crowd-based deduplication: An adaptive approach,

Reference 20

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Observation ab8772f7-c3f2-4011-be43-12b641cbab59 · outbound

This paper cites Select your questions wisely: For entity resolution with crowd errors,.

Entity Resolution via Batched Oracle Queries Select your questions wisely: For entity resolution with crowd errors,

Reference 21

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Observation 576251b2-451b-4a89-a48f-d1c70ab555a1 · outbound

This paper cites A linear programming approach to the cutting-stock problem,.

Entity Resolution via Batched Oracle Queries A linear programming approach to the cutting-stock problem,

Reference 22

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Observation 1fb8af5c-ccd6-409d-9f12-cec40953338b · outbound

This paper cites Multi-way number partitioning.

Entity Resolution via Batched Oracle Queries Multi-way number partitioning

Reference 23

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Observation 401190c0-c479-45d8-9425-361b85f88f64 · outbound

This paper cites The densek-subgraph problem,.

Entity Resolution via Batched Oracle Queries The densek-subgraph problem,

Reference 24

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Observation a9515cf0-0b3a-4137-be65-197e17e0cafd · outbound

This paper cites Christen,Data Matching - Concepts and Techniques for Record Linkage, Entity Resolution, and Duplicate Detection, ser.

Entity Resolution via Batched Oracle Queries Christen,Data Matching - Concepts and Techniques for Record Linkage, Entity Resolution, and Duplicate Detection, ser

Reference 25

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Observation f01ae03a-3bf0-45a3-a754-ca63c3af1358 · outbound

This paper cites Sparkly: A simple yet surprisingly strong TF/IDF blocker for entity matching,.

Entity Resolution via Batched Oracle Queries Sparkly: A simple yet surprisingly strong TF/IDF blocker for entity matching,

Reference 26

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Observation 926c2d14-35c0-4d96-ac48-dc0794d24bff · outbound

This paper cites Deep Entity Matching with Pre-Trained Language Models.

Entity Resolution via Batched Oracle Queries Deep Entity Matching with Pre-Trained Language Models

Reference 27

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arxiv_id, observed 2026-07-04T19:10:04.416362Z

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Observation d13fef83-9e5a-455a-a141-7598e35d52c2 · outbound

This paper cites Using chatgpt for entity matching,.

Entity Resolution via Batched Oracle Queries Using chatgpt for entity matching,

Reference 28

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Observation f1890cf4-84c7-4d9e-b5b2-031a8439695b · outbound

This paper cites Sudowoodo: Contrastive self-supervised learning for multi-purpose data integration and preparation,.

Entity Resolution via Batched Oracle Queries Sudowoodo: Contrastive self-supervised learning for multi-purpose data integration and preparation,

Reference 29

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Observation 4c3ae1a4-5496-4e0d-92d3-63f6a47b2a27 · outbound

This paper cites A survey of indexing techniques for scalable record linkage and deduplication,.

Entity Resolution via Batched Oracle Queries A survey of indexing techniques for scalable record linkage and deduplication,

Reference 30

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Observation 6f903efa-db01-4e74-a506-36d5fd09ee90 · outbound

This paper cites Scaling entity resolution to large, heterogeneous data with enhanced meta-blocking.

Entity Resolution via Batched Oracle Queries Scaling entity resolution to large, heterogeneous data with enhanced meta-blocking

Reference 31

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Observation b704e2cb-b59e-450d-ba3f-be312417cb33 · outbound

This paper cites GSM: A generalized approach to supervised meta-blocking for scalable entity resolution,.

Entity Resolution via Batched Oracle Queries GSM: A generalized approach to supervised meta-blocking for scalable entity resolution,

Reference 32

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Observation 544714c9-e477-4ef8-99ce-6950ded7b32e · outbound

This paper cites Deep learning for blocking in entity matching: a design space exploration,.

Entity Resolution via Batched Oracle Queries Deep learning for blocking in entity matching: a design space exploration,

Reference 33

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Observation ed38d11f-c2ce-437b-b69a-2dc92e2d0bdd · outbound

This paper cites Alaska: A Flexible Benchmark for Data Integration Tasks.

Entity Resolution via Batched Oracle Queries Alaska: A Flexible Benchmark for Data Integration Tasks

Reference 34

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Observation 1e583a39-1b20-4616-a92e-105c798fd252 · outbound

This paper cites WDC Products: A Multi-Dimensional Entity Matching Benchmark.

Entity Resolution via Batched Oracle Queries WDC Products: A Multi-Dimensional Entity Matching Benchmark

Reference 35

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arxiv_id, observed 2026-07-04T19:10:04.424259Z

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Observation 0333d858-10c8-46f4-b639-77555d04625e · outbound

This paper cites Mdedup: duplicate detection with matching dependencies,.

Entity Resolution via Batched Oracle Queries Mdedup: duplicate detection with matching dependencies,

Reference 36

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Observation 6566dcb7-ebfc-4e65-ad6c-760f232d255f · outbound

This paper cites Fast unfolding of communities in large networks,.

Entity Resolution via Batched Oracle Queries Fast unfolding of communities in large networks,

Reference 37

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Observation 24dfecfb-45aa-4718-aad7-b315f2a0ad97 · outbound

This paper cites From louvain to leiden: guaranteeing well-connected communities,.

Entity Resolution via Batched Oracle Queries From louvain to leiden: guaranteeing well-connected communities,

Reference 38

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Observation 2562a936-16c7-4ed7-8ca4-b5305fb53a93 · outbound

This paper cites Near linear time algorithm to detect community structures in large-scale networks,.

Entity Resolution via Batched Oracle Queries Near linear time algorithm to detect community structures in large-scale networks,

Reference 39

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Observation 738c0a06-e7b3-43c0-824b-5976d091c229 · outbound

This paper cites The map equation,.

Entity Resolution via Batched Oracle Queries The map equation,

Reference 40

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no resolver link, observed 2026-06-25T21:56:18.157156Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-25T21:56:18.157156Z digest=sha256:2cc4496902c2272b287097d0cbed3cc108ade55531c4e0db3f39d8d35cdb14f3

Observation 6b578266-98a8-429f-8e83-98f305c37eb4 · outbound

This paper cites Network Community Detection: A Review and Visual Survey.

Entity Resolution via Batched Oracle Queries Network Community Detection: A Review and Visual Survey

Reference 41

Resolution
verified exact
local_arxiv, observed 2026-07-04T19:10:04.421219Z

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.

source=pdf_text observed=2026-06-25T21:56:18.157156Z digest=sha256:c2e3c0bd7e3075d65174977213decff3168a022cd07c678ca442f96b02e09872

Observation 8f9537f2-51b7-497b-b8f7-993c6d7e56c7 · outbound

This paper cites Cost-effective in-context learning for entity resolution: A design space exploration,.

Entity Resolution via Batched Oracle Queries Cost-effective in-context learning for entity resolution: A design space exploration,

Reference 42

Resolution
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source=pdf_text observed=2026-06-25T21:56:18.157156Z digest=sha256:50040f1963332e4c8d9874a034b1a827c4b98938e689f7a60aa02a2d15a1862a

Observation 36f2f75e-f5a0-42e6-b461-3a27aff0532a · outbound

This paper cites Avenger: Ensembling and fine-tuning llms for select prompts in entity resolution,.

Entity Resolution via Batched Oracle Queries Avenger: Ensembling and fine-tuning llms for select prompts in entity resolution,

Reference 43

Resolution
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source=pdf_text observed=2026-06-25T21:56:18.157156Z digest=sha256:b8f387ded07a748cee8ce9697cff8ea24302413fd5f3d9cfd24eeb40c3451781

Observation a22a10dc-0a7a-487c-a7fa-1a27d7e9e01a · outbound

This paper cites Cost-efficient prompt engineering for unsupervised entity resolution in the product matching domain,.

Entity Resolution via Batched Oracle Queries Cost-efficient prompt engineering for unsupervised entity resolution in the product matching domain,

Reference 44

Resolution
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source=pdf_text observed=2026-06-25T21:56:18.157156Z digest=sha256:dd1a5ad831f7cf691027ecbb4b6550e26f41a91ed574babd42b089d6dc5c4c72

Observation 9c81f572-0d62-48a5-bcaf-89853f7ea568 · outbound

This paper cites Web-scale data integration: You can afford to pay as you go,.

Entity Resolution via Batched Oracle Queries Web-scale data integration: You can afford to pay as you go,

Reference 45

Resolution
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no resolver link, observed 2026-06-25T21:56:18.157156Z

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source=pdf_text observed=2026-06-25T21:56:18.157156Z digest=sha256:432a331b56010e5a89cad6ca7dc88df0edbf2ab772b467979f5039d9dc3b46e8

Observation f1ceac0f-1e28-44fa-a4bf-627d837de3c5 · outbound

This paper cites Progressive duplicate detection,.

Entity Resolution via Batched Oracle Queries Progressive duplicate detection,

Reference 46

Resolution
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no resolver link, observed 2026-06-25T21:56:18.157156Z

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source=pdf_text observed=2026-06-25T21:56:18.157156Z digest=sha256:97f8e6fa5b53922b82818d425d250c24b3557d7162e4008ed596d662d1fa44d4

Observation 20dc7519-4bf9-41fc-a026-9e2ed547bdbe · outbound

This paper cites Entity resolution on-demand,.

Entity Resolution via Batched Oracle Queries Entity resolution on-demand,

Reference 47

Resolution
unresolved
no resolver link, observed 2026-06-25T21:56:18.157156Z

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source=pdf_text observed=2026-06-25T21:56:18.157156Z digest=sha256:0bafbfeb7f2744205bf4d2994217030995b8d3f828f6e48d704ff01fa0cb2ca5

Observation b2348d83-fdc1-456b-9cd9-c3da14fe71b8 · outbound

This paper cites Interactive deduplication using active learning,.

Entity Resolution via Batched Oracle Queries Interactive deduplication using active learning,

Reference 48

Resolution
unresolved
no resolver link, observed 2026-06-25T21:56:18.157156Z

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source=pdf_text observed=2026-06-25T21:56:18.157156Z digest=sha256:c7cb4b729b8dfecebff9951428e54c0df7434922b7e3ab39a924f7e81826ac2a

Observation 31af3067-db07-4fc6-ab65-71d687b38377 · outbound

This paper cites The battleship approach to the low resource entity matching problem,.

Entity Resolution via Batched Oracle Queries The battleship approach to the low resource entity matching problem,

Reference 49

Resolution
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no resolver link, observed 2026-06-25T21:56:18.157156Z

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source=pdf_text observed=2026-06-25T21:56:18.157156Z digest=sha256:0d65688c80df5310c602bfe0c488b42242d4fde9102cb7c003423b5cae8a1847

Observation 48b8285e-1932-4f37-b9fc-76aa6e58ef5b · outbound

This paper cites Can foundation models wrangle your data?.

Entity Resolution via Batched Oracle Queries Can foundation models wrangle your data?

Reference 50

Resolution
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source=pdf_text observed=2026-06-25T21:56:18.157156Z digest=sha256:b1775ad8fc59cec0268a15261ed596b65aa7e53c1c3e5479bd825adf648d2f0a

Observation 77ff9f78-d618-4285-acfe-42e291c4665b · outbound

This paper cites Entity matching using large language models,.

Entity Resolution via Batched Oracle Queries Entity matching using large language models,

Reference 51

Resolution
unresolved
no resolver link, observed 2026-06-25T21:56:18.157156Z

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source=pdf_text observed=2026-06-25T21:56:18.157156Z digest=sha256:871ea42834917197c24862cfcf60880724b2725cac20b017e50e79213c5a969d

Observation d845501f-f329-4d81-bf33-8adfd829b1ae · outbound

This paper cites In-context clustering-based entity resolution with large language models: A design space exploration,.

Entity Resolution via Batched Oracle Queries In-context clustering-based entity resolution with large language models: A design space exploration,

Reference 52

Resolution
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source=pdf_text observed=2026-06-25T21:56:18.157156Z digest=sha256:3bab324dcc8276d178dd07c18b74aa894f4771b22d7218267a6b6cbc664c49cb

Pith citing papers

Observation 92407057-6bdf-4bf2-a649-1981d0eac424 · inbound

Beyond Scale and Generation: Understanding Language Model-based Entity Matching cites this paper.

Beyond Scale and Generation: Understanding Language Model-based Entity Matching Entity Resolution via Batched Oracle Queries

Reference 6

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source=pdf_text observed=2026-07-31T07:54:37.094746Z digest=sha256:7c0a0ab90d25a1f9d519758719c00a5d5fc7d020e081c6e1e3bb3799865c67f2