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Paper Citation Record · LEDGER

Entity Resolution in Practice: Lessons from a Self-Serve Pipeline

As of 18 August 2026, this Paper Citation Record lists 32 of 32 outbound references and 0 inbound Pith citation observations for arXiv:2607.26298.

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

pith.paper-citation-record.v1
2607.26298 v1

Coverage vector

measured 32 of 32 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T00:18:28.028607Z

measured 32 of 32 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+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

32 of 32 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 99d8459f-b10f-43cc-8892-13a3a1f81857 · outbound

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

Entity Resolution in Practice: Lessons from a Self-Serve Pipeline An overview of end-to-end entity resolution,

Reference 1

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source=pdf_text observed=2026-08-01T00:18:24.980996Z digest=sha256:3356374da8f424b71b30a1ade96c9124aa7700b7c662cf723fffc898d0bfaf33

Observation b19256e3-0220-4586-b1a6-967f1ac8afd4 · outbound

This paper cites A theory for record linkage,.

Entity Resolution in Practice: Lessons from a Self-Serve Pipeline A theory for record linkage,

Reference 2

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source=pdf_text observed=2026-08-01T00:18:25.096731Z digest=sha256:eed116ce321b3154e48ce8b2af9148ecf9a7d19952d3e4cd46115e62adabf47d

Observation 1af9110c-b2b3-4952-9fe3-52127bdae7e1 · outbound

This paper cites Entity matching using large language models,.

Entity Resolution in Practice: Lessons from a Self-Serve Pipeline Entity matching using large language models,

Reference 3

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source=pdf_text observed=2026-08-01T00:18:25.222745Z digest=sha256:574e480477025a4544c9254a902fac6214812c1f9094642b02b874a540bde14f

Observation b7f914b9-ffbc-4eee-8b7d-e0cda6cd2739 · outbound

This paper cites Cost-effective in-context learning for entity resolution,.

Entity Resolution in Practice: Lessons from a Self-Serve Pipeline Cost-effective in-context learning for entity resolution,

Reference 4

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source=pdf_text observed=2026-08-01T00:18:25.337110Z digest=sha256:2c2473c25d6c742f729fafb45029a92461c98f1538a6040fc4c81a5f265cb25e

Observation 5309af2e-3ae4-4b3a-b1d5-92b38c92e140 · outbound

This paper cites Deep entity matching with pre-trained language models,.

Entity Resolution in Practice: Lessons from a Self-Serve Pipeline Deep entity matching with pre-trained language models,

Reference 5

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source=pdf_text observed=2026-08-01T00:18:25.460952Z digest=sha256:08fba02187599a31af64d1e1775af2b42b4b4dff72f058d2904e74ce9252172d

Observation eb23269d-ede3-4502-ac49-ef0e47e7603d · outbound

This paper cites Deep learning for entity matching: A design space exploration,.

Entity Resolution in Practice: Lessons from a Self-Serve Pipeline Deep learning for entity matching: A design space exploration,

Reference 6

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source=pdf_text observed=2026-08-01T00:18:25.648075Z digest=sha256:08913238c04a5b8e8477bc5d538fa986e8cb53916307088ad04ced392ca4071a

Observation bbcd3a22-d687-4847-a84d-eea7385f24ce · outbound

This paper cites Blocking and filtering techniques for entity resolution: A survey,.

Entity Resolution in Practice: Lessons from a Self-Serve Pipeline Blocking and filtering techniques for entity resolution: A survey,

Reference 7

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source=pdf_text observed=2026-08-01T00:18:25.798412Z digest=sha256:3022c6bb1b889e5c5de3af2b28922974905419604f7955b6edae750a97c3c0cc

Observation 071bf0a6-c789-49dc-8976-6879fad1bf35 · outbound

This paper cites Optuna: A next-generation hyperparameter optimization framework,.

Entity Resolution in Practice: Lessons from a Self-Serve Pipeline Optuna: A next-generation hyperparameter optimization framework,

Reference 8

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source=pdf_text observed=2026-08-01T00:18:25.953808Z digest=sha256:bd72cbfcae80cfc561371b7bed77af4726a23dabcbb59352af3a7a0fea67a614

Observation 7e1f25ec-fe8f-42e3-9af2-c54c62f4cb6c · outbound

This paper cites autoresearch: LLM-driven autonomous research loop,.

Entity Resolution in Practice: Lessons from a Self-Serve Pipeline autoresearch: LLM-driven autonomous research loop,

Reference 9

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source=pdf_text observed=2026-08-01T00:18:26.136403Z digest=sha256:da2a4b86a75fda2f15f6093d94e4f11471b757de4d53d7f68754814067995477

Observation cfb62916-8557-4819-8198-d041773b0845 · outbound

This paper cites LightGBM: A highly efficient gradient boosting decision tree,.

Entity Resolution in Practice: Lessons from a Self-Serve Pipeline LightGBM: A highly efficient gradient boosting decision tree,

Reference 10

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source=pdf_text observed=2026-08-01T00:18:26.268881Z digest=sha256:e57e3039d382b3c6e209f26d735184c0e72b52571160ce1650b999442158d6c4

Observation 177fe9d3-a9f1-4125-8faa-c3ef28698c56 · outbound

This paper cites How attentive are graph attention networks?.

Entity Resolution in Practice: Lessons from a Self-Serve Pipeline How attentive are graph attention networks?

Reference 11

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source=pdf_text observed=2026-08-01T00:18:26.473943Z digest=sha256:f7fd9068734cb490d1a541d575ed073c5dfa877bffb84d30867133019df906c8

Observation 8062d5ee-c5aa-4718-9963-9d23c3fbb15e · outbound

This paper cites Scalable matching and clustering of entities with FAMER,.

Entity Resolution in Practice: Lessons from a Self-Serve Pipeline Scalable matching and clustering of entities with FAMER,

Reference 12

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source=pdf_text observed=2026-08-01T00:18:26.637406Z digest=sha256:1229396fc673ca2696ac85ef7164d5fcc45855531fe385b692810705433c6940

Observation 3e01bc51-0473-46a0-8152-b5df206ceea9 · outbound

This paper cites HPI repeatability datasets for entity resolution: Restaurants, Cora, and DBLP-Scholar,.

Entity Resolution in Practice: Lessons from a Self-Serve Pipeline HPI repeatability datasets for entity resolution: Restaurants, Cora, and DBLP-Scholar,

Reference 13

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source=pdf_text observed=2026-08-01T00:18:26.766358Z digest=sha256:b6c0a72134d656ad8b985bd55b7d9941b9a7c7a2e9bf424962ff59f14e7ab103

Observation 31445127-0e15-4d3b-837d-6b4d70e8935b · outbound

This paper cites Using link discovery to enrich DBpedia with equivalent entity relationships,.

Entity Resolution in Practice: Lessons from a Self-Serve Pipeline Using link discovery to enrich DBpedia with equivalent entity relationships,

Reference 14

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source=pdf_text observed=2026-08-01T00:18:26.824355Z digest=sha256:83d2ea62e5bc9840eba0efa07dbff251676309cad3b98cc70c9f0bd72f7838fe

Observation 34c4e283-0a24-4801-9332-bda66f038556 · outbound

This paper cites Comparative evaluation of distributed clustering approaches for entity resolution,.

Entity Resolution in Practice: Lessons from a Self-Serve Pipeline Comparative evaluation of distributed clustering approaches for entity resolution,

Reference 15

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source=pdf_text observed=2026-08-01T00:18:26.891095Z digest=sha256:f9950390465422b600833c2612d1e42f28da68b0ed9d377beda2a11f1bf94e94

Observation e38b9ece-729a-4882-83cd-8357dcab4d18 · outbound

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

Entity Resolution in Practice: Lessons from a Self-Serve Pipeline An overview of end-to-end entity resolution for big data,

Reference 16

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source=pdf_text observed=2026-08-01T00:18:26.967078Z digest=sha256:224905a8afd3f1c9ccc7f4289ec2e0ee324cd08f8f1e98e727e381e2b81f369d

Observation 70263b89-3fdf-4373-8e02-6b6e398ee939 · outbound

This paper cites (almost) all of entity resolution,.

Entity Resolution in Practice: Lessons from a Self-Serve Pipeline (almost) all of entity resolution,

Reference 17

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source=pdf_text observed=2026-08-01T00:18:27.030086Z digest=sha256:f6434d4a5f884e7c485a9cf99750fd66b2299bab83f935a69f474807477eaac6

Observation ec21b1ac-16fa-4f51-8ac5-48c0e6d0b226 · outbound

This paper cites Exploiting Transitivity Constraints for Entity Matching in Knowledge Graphs.

Entity Resolution in Practice: Lessons from a Self-Serve Pipeline Exploiting Transitivity Constraints for Entity Matching in Knowledge Graphs

Reference 18

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source=pdf_text observed=2026-08-01T00:18:27.106488Z digest=sha256:edb864025b2c031e543039bf6600649fe59144c8de02b1a9f3a7a2818eca7daf

Observation 4b923bb0-930e-4acc-a99d-bf9d0b10df9e · outbound

This paper cites TransClean: Finding False Positives in Multi-Source Entity Matching under Real-World Conditions via Transitive Consistency.

Entity Resolution in Practice: Lessons from a Self-Serve Pipeline TransClean: Finding False Positives in Multi-Source Entity Matching under Real-World Conditions via Transitive Consistency

Reference 19

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source=pdf_text observed=2026-08-01T00:18:27.185645Z digest=sha256:627563bda30b5fcebb54d4a6d235e9a21131abdff81fd5577c7aee3419b0366d

Observation 794bfc92-2ed2-4600-8b34-c64204ec8fce · outbound

This paper cites Swoosh: A generic approach to entity resolution,.

Entity Resolution in Practice: Lessons from a Self-Serve Pipeline Swoosh: A generic approach to entity resolution,

Reference 20

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source=pdf_text observed=2026-08-01T00:18:27.238758Z digest=sha256:4b586e917da34df08448c14f5d8a5de4577d1c015f01e640608ff81d96c89a00

Observation d96b0546-a620-48d1-9366-e65c585438cd · outbound

This paper cites Magellan: Toward building entity matching management systems,.

Entity Resolution in Practice: Lessons from a Self-Serve Pipeline Magellan: Toward building entity matching management systems,

Reference 21

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source=pdf_text observed=2026-08-01T00:18:27.293930Z digest=sha256:b4efc39e891f4258efa26042385074506191ef4dbecd9fb6ddcfad98ad6f9859

Observation 8938c6c6-24a3-4357-8516-b89c73e2407b · outbound

This paper cites Analyzing how BERT performs entity matching,.

Entity Resolution in Practice: Lessons from a Self-Serve Pipeline Analyzing how BERT performs entity matching,

Reference 22

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source=pdf_text observed=2026-08-01T00:18:27.356156Z digest=sha256:5c3217b93bbdfb99ecee09b989a7b5992604d2f40fc5843acfe3b7317c9bb7b3

Observation 2c36df33-9522-40e8-a699-764c6759e156 · outbound

This paper cites ZeroER: Entity resolution using zero labeled examples,.

Entity Resolution in Practice: Lessons from a Self-Serve Pipeline ZeroER: Entity resolution using zero labeled examples,

Reference 23

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source=pdf_text observed=2026-08-01T00:18:27.414284Z digest=sha256:250ef23242908b9df05857dfda2d913bf2afbb85aa8cf84824dfd263911eef95

Observation 3217284c-42c6-4acd-9f4e-f29ef323ccc2 · outbound

This paper cites Heterogeneity in entity matching,.

Entity Resolution in Practice: Lessons from a Self-Serve Pipeline Heterogeneity in entity matching,

Reference 24

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source=pdf_text observed=2026-08-01T00:18:27.468662Z digest=sha256:d093a63b460ea2d9f04479cb4ac67bbe636801529adc8ae475bef60cf596313e

Observation b451ff53-141a-44f4-a258-fc5f5a256c2d · outbound

This paper cites Entity resolution with hierarchical graph attention networks,.

Entity Resolution in Practice: Lessons from a Self-Serve Pipeline Entity resolution with hierarchical graph attention networks,

Reference 25

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source=pdf_text observed=2026-08-01T00:18:27.528801Z digest=sha256:55fef85591370c45ec7a64df3c5a2c8cc2601c72fdfd7f4ed2b4fb5c65586fd5

Observation 866c2e5c-9425-4192-b803-d611e8429193 · outbound

This paper cites GraphER: When GDD meets GNN for entity resolution on property graphs,.

Entity Resolution in Practice: Lessons from a Self-Serve Pipeline GraphER: When GDD meets GNN for entity resolution on property graphs,

Reference 26

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source=pdf_text observed=2026-08-01T00:18:27.602202Z digest=sha256:bedf88f8ecfd329aaa58401ca8513ef77e6b87591f98aef73a8ddfcb5f8f1e1a

Observation b03f70ab-a4a8-4aee-bf8b-be9ba209a3e5 · outbound

This paper cites Graph metrics-driven record cluster repair meets LLM-based active learning,.

Entity Resolution in Practice: Lessons from a Self-Serve Pipeline Graph metrics-driven record cluster repair meets LLM-based active learning,

Reference 27

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source=pdf_text observed=2026-08-01T00:18:27.682753Z digest=sha256:5af7304cefff9b8100f9bcc9edda79a3b00fe4109f19916a0bd7eafba31f2a7e

Observation 94d2bf18-d31d-42e0-bd26-f475d59955f2 · outbound

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

Entity Resolution in Practice: Lessons from a Self-Serve Pipeline Match, compare, or select? an investigation of LLMs for entity matching,

Reference 28

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source=pdf_text observed=2026-08-01T00:18:27.750604Z digest=sha256:9cb70e1be84e64ce7ef00edf31756b3321ca5ff7f7d683081800ee02afc84df5

Observation 4e8b86f2-8339-4007-83a0-3c1814bbd80d · outbound

This paper cites Learning from Natural Language Explanations for Generalizable Entity Matching.

Entity Resolution in Practice: Lessons from a Self-Serve Pipeline Learning from Natural Language Explanations for Generalizable Entity Matching

Reference 29

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source=pdf_text observed=2026-08-01T00:18:27.824291Z digest=sha256:56fc5a982b237d61028455b4bc2c7c9c1b4606a7cf13f7a5b26c7fa27bb2885c

Observation 54c8765e-fbd8-4643-b445-58b12333e80f · outbound

This paper cites Fine-tuning Large Language Models for Entity Matching.

Entity Resolution in Practice: Lessons from a Self-Serve Pipeline Fine-tuning Large Language Models for Entity Matching

Reference 30

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source=pdf_text observed=2026-08-01T00:18:27.891645Z digest=sha256:b4cd8e66651af51508cc8a2aa04cd1c7dc1337fa89a1eadd505a9f8268c32a20

Observation f677b05b-2298-4b10-ae0e-99cd4a58a1b4 · outbound

This paper cites Agent-S: LLM Agentic workflow to automate Standard Operating Procedures.

Entity Resolution in Practice: Lessons from a Self-Serve Pipeline Agent-S: LLM Agentic workflow to automate Standard Operating Procedures

Reference 31

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source=pdf_text observed=2026-08-01T00:18:27.959781Z digest=sha256:f882d29cdb196dd315714af0d63d9e0fa9fc2ab42160662c296677a03bbf0d09

Observation c201bf25-336e-4f5c-b69d-384bfb8f4016 · outbound

This paper cites SOP-Bench: Complex industrial SOPs for evaluating LLM agents,.

Entity Resolution in Practice: Lessons from a Self-Serve Pipeline SOP-Bench: Complex industrial SOPs for evaluating LLM agents,

Reference 32

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source=pdf_text observed=2026-08-01T00:18:28.028607Z digest=sha256:02c05dffcca502c2cf4aa85a820c1544d7eda3f9f00796e2e37b99f9a9bf246c

Pith citing papers

No inbound Pith citation observations are available.