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Paper Citation Record · LEDGER

Econometrics with Pre-Trained Embeddings for Unstructured Data

As of 14 August 2026, this Paper Citation Record lists 93 of 93 outbound references and 0 inbound Pith citation observations for arXiv:2607.17378.

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

pith.paper-citation-record.v1
2607.17378 v1

Coverage vector

measured 93 of 93 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T18:15:35.718856Z

measured 93 of 93 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+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

93 of 93 outbound references displayed

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  • verified fuzzy0
  • unresolved93
  • parse uncertain0
  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 05fb1c1c-7da4-4d0f-bc22-8cb01eda2227 · outbound

This paper cites 2018 , publisher=.

Econometrics with Pre-Trained Embeddings for Unstructured Data 2018 , publisher=

Reference 1

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source=arxiv_source observed=2026-08-01T18:15:27.004382Z digest=sha256:32dbdb1e7269fa3e54b2d3c96a640d24b9c4c4aac752cf6396feb089230b941d

Observation c2a45a8d-5aab-4b0a-bc24-0674991205c0 · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

Econometrics with Pre-Trained Embeddings for Unstructured Data Advances in Neural Information Processing Systems , volume=

Reference 2

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source=arxiv_source observed=2026-08-01T18:15:27.044329Z digest=sha256:3eea44b19653c76e0c6df142106b5ec0ecb57e12c09402d998a1f5833914b386

Observation 7a87611f-1898-41b0-9423-97446aa91f4e · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

Econometrics with Pre-Trained Embeddings for Unstructured Data Advances in Neural Information Processing Systems , volume=

Reference 3

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source=arxiv_source observed=2026-08-01T18:15:27.120779Z digest=sha256:062d5b9a0efa73f69d2f573f9c65c35646a2923d926d7f5dbe5100c26e3af9c3

Observation 97807af0-6340-4a6e-a8b3-23e3a5377cf4 · outbound

This paper cites Science , volume=.

Econometrics with Pre-Trained Embeddings for Unstructured Data Science , volume=

Reference 4

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source=arxiv_source observed=2026-08-01T18:15:27.202215Z digest=sha256:de645783768a7b8ae8a82920d2675308bd909e3f86ea088fd6aec0dab0d85af0

Observation 825db732-f187-4b77-8985-d5d8b48eb10d · outbound

This paper cites arXiv preprint arXiv:2505.00282 , year=.

Econometrics with Pre-Trained Embeddings for Unstructured Data arXiv preprint arXiv:2505.00282 , year=

Reference 5

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source=arxiv_source observed=2026-08-01T18:15:27.286063Z digest=sha256:9398d1f5a9455d80a6de8f08e734badbae8b0412f6358d6c7bdd371dfbb45599

Observation 9c0a547b-5a0e-4137-9f8c-9ce2f81c2a1b · outbound

This paper cites Predictions as Surrogates: Revisiting Surrogate Outcomes in the Age of AI.

Econometrics with Pre-Trained Embeddings for Unstructured Data Predictions as Surrogates: Revisiting Surrogate Outcomes in the Age of AI

Reference 6

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source=arxiv_source observed=2026-08-01T18:15:27.331766Z digest=sha256:97e09d10ecf33b71e7b44d816c94fa74b7b02d30cd21504afce01a8836c650f2

Observation 24ab6939-cbe1-4233-ba50-92af355116c0 · outbound

This paper cites Proceedings of the National Academy of Sciences , volume=.

Econometrics with Pre-Trained Embeddings for Unstructured Data Proceedings of the National Academy of Sciences , volume=

Reference 7

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source=arxiv_source observed=2026-08-01T18:15:27.395843Z digest=sha256:5e893856df5aec4a2c156001546cdf775e8cfdce8773cc6f7a4b3330e969ef93

Observation 0f2f5cbe-8b06-429f-8fa5-37bc17debf55 · outbound

This paper cites Inference for Regression with Variables Generated by.

Econometrics with Pre-Trained Embeddings for Unstructured Data Inference for Regression with Variables Generated by

Reference 8

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source=arxiv_source observed=2026-08-01T18:15:27.459151Z digest=sha256:a55c032c74a6b504e1bc4762b648dfd935d93abea41bd2a48f3624312bd0b7d1

Observation 6cf63ded-d453-4638-bd67-5026aa5f5fae · outbound

This paper cites Debiasing.

Econometrics with Pre-Trained Embeddings for Unstructured Data Debiasing

Reference 9

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source=arxiv_source observed=2026-08-01T18:15:27.494468Z digest=sha256:86ab22bcf141bf1d70eebfeff6ada1c38febda6969c8bcc755b752be97ff7ed2

Observation 303c68ad-9d95-43fd-bfb6-e9347606d234 · outbound

This paper cites Program Evaluation with Remotely Sensed Outcomes.

Econometrics with Pre-Trained Embeddings for Unstructured Data Program Evaluation with Remotely Sensed Outcomes

Reference 10

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source=arxiv_source observed=2026-08-01T18:15:27.553762Z digest=sha256:32b16493fdcdb04ee67ce354b89fe729b07e51e86908a38904e86017836cd270

Observation 00e4f651-eba3-479d-80fb-b2e31efa3ec0 · outbound

This paper cites The Econometrics Journal , pages=.

Econometrics with Pre-Trained Embeddings for Unstructured Data The Econometrics Journal , pages=

Reference 11

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source=arxiv_source observed=2026-08-01T18:15:27.589133Z digest=sha256:15e2b1b69e5e29e47fc56c27229e5347325184fbce94d0d532190a35ea2d643b

Observation 8ab3a577-bd28-4cd1-b1d9-6285cf50f501 · outbound

This paper cites Econometrica , volume=.

Econometrics with Pre-Trained Embeddings for Unstructured Data Econometrica , volume=

Reference 12

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source=arxiv_source observed=2026-08-01T18:15:27.653034Z digest=sha256:16d7acc2c594b7dee559edf61a4753159aac46e8f8de2c8c6af909ebcc15003d

Observation 6b887e90-a30a-4973-a472-b5123f08db98 · outbound

This paper cites Journal of the Royal Statistical Society Series B: Statistical Methodology , volume=.

Econometrics with Pre-Trained Embeddings for Unstructured Data Journal of the Royal Statistical Society Series B: Statistical Methodology , volume=

Reference 13

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source=arxiv_source observed=2026-08-01T18:15:27.687748Z digest=sha256:b5987190b9b6423b9b030c06dfba5c3b2e1fe65ac25e4f00ba1bff78b125812f

Observation 1ae66d29-2f6f-4eed-9699-3504396de556 · outbound

This paper cites Journal of the American Statistical Association , volume=.

Econometrics with Pre-Trained Embeddings for Unstructured Data Journal of the American Statistical Association , volume=

Reference 14

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source=arxiv_source observed=2026-08-01T18:15:27.748394Z digest=sha256:9bf007f306ed44e9204e346667c087db0e36533aedd20f47149038ce1a565a39

Observation 531c3700-65f4-4873-b913-d716a106a2d4 · outbound

This paper cites Science , volume=.

Econometrics with Pre-Trained Embeddings for Unstructured Data Science , volume=

Reference 15

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source=arxiv_source observed=2026-08-01T18:15:27.788244Z digest=sha256:c0e295781f9b2278c84f3d7fd92991d280338d8a9378b9256968110a734faaf9

Observation 25a7b43e-a5d7-4841-abdb-4a30345cad07 · outbound

This paper cites arXiv preprint arXiv:2503.20711 , year=.

Econometrics with Pre-Trained Embeddings for Unstructured Data arXiv preprint arXiv:2503.20711 , year=

Reference 16

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source=arxiv_source observed=2026-08-01T18:15:27.839717Z digest=sha256:71127324b62d7f44e3c4f82493432d1dbc28a712ac4d35fdd6565501cb905bae

Observation 3be4afee-ddec-47a9-bfa9-e54a2c5e1495 · outbound

This paper cites Journal of Econometrics , volume =.

Econometrics with Pre-Trained Embeddings for Unstructured Data Journal of Econometrics , volume =

Reference 17

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source=arxiv_source observed=2026-08-01T18:15:27.883239Z digest=sha256:6ecd3a0215167c7ab8f8223fa71a7c56dd5259b54324bf7b3d6a4bbd52fc22d4

Observation dc6f8300-bbff-4012-9ee1-b59aa94f2d88 · outbound

This paper cites Econometrica , volume=.

Econometrics with Pre-Trained Embeddings for Unstructured Data Econometrica , volume=

Reference 18

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source=arxiv_source observed=2026-08-01T18:15:27.989463Z digest=sha256:762b595afc32678b3439b38747d6b53c0fd287baa52d5b83d8fad827ba5ddb07

Observation 07673a7d-b5d1-4cbc-b4dd-51781bf447ba · outbound

This paper cites 2023 , publisher=.

Econometrics with Pre-Trained Embeddings for Unstructured Data 2023 , publisher=

Reference 19

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source=arxiv_source observed=2026-08-01T18:15:28.157843Z digest=sha256:d9a892b20e0c95892b4d1f40cec034cdd58f1d0c0d3264874d77c7269cd1dd22

Observation 0cca57c9-a5ab-473c-92b3-c754c7f20e81 · outbound

This paper cites 1998 , publisher=.

Econometrics with Pre-Trained Embeddings for Unstructured Data 1998 , publisher=

Reference 20

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no resolver link, observed 2026-08-01T18:15:28.322349Z

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source=arxiv_source observed=2026-08-01T18:15:28.322349Z digest=sha256:8309ca769ee963fed86d3d09fd75f8efed224eec8c92c6c1b356cf9e5c3c3248

Observation a773640b-d7d6-4bec-8aa2-c4a8aeee0afa · outbound

This paper cites 2019 , publisher=.

Econometrics with Pre-Trained Embeddings for Unstructured Data 2019 , publisher=

Reference 21

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no resolver link, observed 2026-08-01T18:15:28.440916Z

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source=arxiv_source observed=2026-08-01T18:15:28.440916Z digest=sha256:7e5c246860c298fd1f6949193a4f76e72e309852b3f739529ad8acb5cc907b6b

Observation cd0fa194-a347-498c-bb89-c69ec01395c2 · outbound

This paper cites Journal of Machine Learning Research , volume=.

Econometrics with Pre-Trained Embeddings for Unstructured Data Journal of Machine Learning Research , volume=

Reference 22

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no resolver link, observed 2026-08-01T18:15:28.588961Z

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source=arxiv_source observed=2026-08-01T18:15:28.588961Z digest=sha256:9f61b0d36a50ab8ade9d3ad8f1e5602575b79f384268944a5c0b4575a932f18b

Observation 03ee9e30-5c14-41c0-95a7-33741d5904aa · outbound

This paper cites Econometrica , volume=.

Econometrics with Pre-Trained Embeddings for Unstructured Data Econometrica , volume=

Reference 23

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source=arxiv_source observed=2026-08-01T18:15:28.702535Z digest=sha256:eec724f00294073b6f80fd67bd43da6d760f67b02157bd911bda2c28c75044b6

Observation 7006b981-742b-4596-a69e-8763581055aa · outbound

This paper cites arXiv preprint arXiv:2506.14329 , year=.

Econometrics with Pre-Trained Embeddings for Unstructured Data arXiv preprint arXiv:2506.14329 , year=

Reference 24

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source=arxiv_source observed=2026-08-01T18:15:28.870395Z digest=sha256:47797727cbf96db10dd1672c0004f7de066b4ef15f298140f9b4b646ecb32fab

Observation c078215f-f459-4e38-8a7f-42802e913061 · outbound

This paper cites DoubleMLDeep: Estimation of Causal Effects with Multimodal Data.

Econometrics with Pre-Trained Embeddings for Unstructured Data DoubleMLDeep: Estimation of Causal Effects with Multimodal Data

Reference 25

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source=arxiv_source observed=2026-08-01T18:15:28.980478Z digest=sha256:bf9813e75a088d8282bfe9e5d45b4d190702662f20086ae47dacbb871accb3c1

Observation d58d4114-ab56-4dbe-afde-b567a5180a1f · outbound

This paper cites Unpublished manuscript , year=.

Econometrics with Pre-Trained Embeddings for Unstructured Data Unpublished manuscript , year=

Reference 26

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source=arxiv_source observed=2026-08-01T18:15:29.079981Z digest=sha256:e2dff0f3eac328aba973b43276283ef5394f79aea3589313f0a7c90adb1d1db3

Observation 9682a9ee-7fad-47c8-8d67-f7aab9cb2786 · outbound

This paper cites Proceedings of the National Academy of Sciences , volume=.

Econometrics with Pre-Trained Embeddings for Unstructured Data Proceedings of the National Academy of Sciences , volume=

Reference 27

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no resolver link, observed 2026-08-01T18:15:29.216193Z

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source=arxiv_source observed=2026-08-01T18:15:29.216193Z digest=sha256:53945e565eccbf7018e08139b8a56fe0d7b7eab516a7756526bfdd4c08d8bda4

Observation 365adf8f-1612-4e83-abb9-aa84358e2024 · outbound

This paper cites International Conference on Machine Learning , pages=.

Econometrics with Pre-Trained Embeddings for Unstructured Data International Conference on Machine Learning , pages=

Reference 28

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source=arxiv_source observed=2026-08-01T18:15:29.308637Z digest=sha256:5437baaaa2bf712fdca0fb4452ed620d8f43e584454186aeb6e3d702cb5929b1

Observation 643f90d9-d041-4bf3-b672-838dcb4588b0 · outbound

This paper cites On the VC dimension of deep group convolutional neural networks.

Econometrics with Pre-Trained Embeddings for Unstructured Data On the VC dimension of deep group convolutional neural networks

Reference 29

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source=arxiv_source observed=2026-08-01T18:15:29.374620Z digest=sha256:77efdae19f298aaf98d15093cd4a022a2ff54da400b8d44539186fdca29d6b01

Observation 857ef4c9-50d7-4f2a-adee-827a606b7561 · outbound

This paper cites Econometrica , volume=.

Econometrics with Pre-Trained Embeddings for Unstructured Data Econometrica , volume=

Reference 30

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source=arxiv_source observed=2026-08-01T18:15:29.482976Z digest=sha256:54f14e1559d6e90948bc692d0ae9c8f09c3402b6f83ebf440744c9eb6472a345

Observation 19f5aea7-e40d-4248-aef0-ea39fcdde616 · outbound

This paper cites The RAND Journal of Economics , pages=.

Econometrics with Pre-Trained Embeddings for Unstructured Data The RAND Journal of Economics , pages=

Reference 31

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no resolver link, observed 2026-08-01T18:15:29.595865Z

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source=arxiv_source observed=2026-08-01T18:15:29.595865Z digest=sha256:30f4d3037c977088646c76997b3433ba5ad506cba2d9566f33c8032f4c8e239f

Observation 3bb828d8-fb1d-450e-8dde-f22f1033498c · outbound

This paper cites Journal of Econometrics , volume=.

Econometrics with Pre-Trained Embeddings for Unstructured Data Journal of Econometrics , volume=

Reference 32

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no resolver link, observed 2026-08-01T18:15:29.685290Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T18:15:29.685290Z digest=sha256:c1109a5a7ecc0159cc9f2bb794936fdb103eb3e599cf1e9cb7b482bb64804695

Observation 2d609949-acd1-4b5b-88bf-26d799a493d3 · outbound

This paper cites an unresolved cited work.

Econometrics with Pre-Trained Embeddings for Unstructured Data Unresolved cited work

Reference 33

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source=arxiv_source observed=2026-08-01T18:15:29.805799Z digest=sha256:4efc2c702e888360aa8164baf8022246fb63ab94461fc9c66a34e057e7da1434

Observation 20e8544c-7c29-4d91-b024-306c1fa8ad31 · outbound

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

Econometrics with Pre-Trained Embeddings for Unstructured Data Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks

Reference 34

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source=arxiv_source observed=2026-08-01T18:15:29.951941Z digest=sha256:7ea9c87e992cdfe3fc6562ef9f8fd7d13b3e2e0cc9f714f4020c1483875d1902

Observation 36cb6604-dc3c-42fe-907e-7b02db12326e · outbound

This paper cites Nature Communications , volume=.

Econometrics with Pre-Trained Embeddings for Unstructured Data Nature Communications , volume=

Reference 35

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no resolver link, observed 2026-08-01T18:15:30.063819Z

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source=arxiv_source observed=2026-08-01T18:15:30.063819Z digest=sha256:478ff856be24cc1cd76b68447f45d0d78c286bdfc158cdcd59e6aed98f8443a6

Observation b9a3801a-50ab-40f7-99c3-b2555efb8337 · outbound

This paper cites 2023 , publisher=.

Econometrics with Pre-Trained Embeddings for Unstructured Data 2023 , publisher=

Reference 36

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no resolver link, observed 2026-08-01T18:15:30.225729Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T18:15:30.225729Z digest=sha256:c7daaf802bdce7a01d41688873dd7290ad9a7f22b8d2e8e46c8d0c9add0b64a3

Observation bc646deb-00e4-443b-9b68-457fab52b92d · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

Econometrics with Pre-Trained Embeddings for Unstructured Data Advances in Neural Information Processing Systems , volume=

Reference 37

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source=arxiv_source observed=2026-08-01T18:15:30.341345Z digest=sha256:586dee6960cb625ae89a73401adba70c6939433b04f2783c5739b20855d11507

Observation 1655655a-9d2b-4e20-9b6b-9b58fb7fc1f7 · outbound

This paper cites 3rd International Conference on Learning Representations,.

Econometrics with Pre-Trained Embeddings for Unstructured Data 3rd International Conference on Learning Representations,

Reference 38

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no resolver link, observed 2026-08-01T18:15:30.439098Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T18:15:30.439098Z digest=sha256:554cd6dbe40e76d81fb74cf6ed5044aa3d30fa62d050bf296157f92638aeff83

Observation 12bbd7be-ac54-4e3a-9250-634d6b0b1541 · outbound

This paper cites Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition , pages=.

Econometrics with Pre-Trained Embeddings for Unstructured Data Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition , pages=

Reference 39

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no resolver link, observed 2026-08-01T18:15:30.549208Z

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source=arxiv_source observed=2026-08-01T18:15:30.549208Z digest=sha256:be68424c0b4794b6e052d404320e0b73f35d72e71006b6b7040f5e87e599d3a1

Observation 222fdd64-70c5-4be1-a9ec-9e0443daf832 · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

Econometrics with Pre-Trained Embeddings for Unstructured Data Advances in Neural Information Processing Systems , volume=

Reference 40

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source=arxiv_source observed=2026-08-01T18:15:30.701453Z digest=sha256:8f9a1dfc59f15130d5fb0cfd0b9d7d4cb14539b69a47817fcea762b7f4dc158e

Observation 9021f7c1-0df1-459d-bc51-1613a853ba27 · outbound

This paper cites 1999 , publisher=.

Econometrics with Pre-Trained Embeddings for Unstructured Data 1999 , publisher=

Reference 41

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source=arxiv_source observed=2026-08-01T18:15:30.869247Z digest=sha256:361bb99b682a216c66f25eb293463bbbcbaf1658076f5b1b85b7a3023b563b0f

Observation f4716a05-1865-42c7-9ac1-75a9482a197f · outbound

This paper cites International Conference on Machine Learning , pages=.

Econometrics with Pre-Trained Embeddings for Unstructured Data International Conference on Machine Learning , pages=

Reference 42

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source=arxiv_source observed=2026-08-01T18:15:30.985211Z digest=sha256:6352ae9fe1d98e9d2aed6d63b3f472828418f26f4d25e69b13184d0d490b8556

Observation 783e3a55-f062-43a5-87da-bca32a52ee41 · outbound

This paper cites 2002 , publisher=.

Econometrics with Pre-Trained Embeddings for Unstructured Data 2002 , publisher=

Reference 43

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source=arxiv_source observed=2026-08-01T18:15:31.131844Z digest=sha256:f632bac5bab5ea130e75349e6cfeeca568168d5ea4db680f51f8e56bd7cf610a

Observation 4beb9d2f-1a0e-47ed-9b40-f1cfab22b280 · outbound

This paper cites 1999 , publisher=.

Econometrics with Pre-Trained Embeddings for Unstructured Data 1999 , publisher=

Reference 44

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source=arxiv_source observed=2026-08-01T18:15:31.232508Z digest=sha256:98300f7b4368774eeb2e2c931eb0c1473b894f6d6465d7e8f414df6388626025

Observation 8a38e3bb-a4bc-443f-b2cd-dee314297e64 · outbound

This paper cites 2008 , publisher=.

Econometrics with Pre-Trained Embeddings for Unstructured Data 2008 , publisher=

Reference 45

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source=arxiv_source observed=2026-08-01T18:15:31.342425Z digest=sha256:03cbc6f81c4200e70b53de890d1a8404ada67b4bcc7c142b2a53d6fc757b10dc

Observation ed807d81-138a-4fce-8068-90de84f94135 · outbound

This paper cites 2016 , publisher=.

Econometrics with Pre-Trained Embeddings for Unstructured Data 2016 , publisher=

Reference 46

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source=arxiv_source observed=2026-08-01T18:15:31.379848Z digest=sha256:e36ff476cd96c4edb4ede6fd65dda18065e49d80e41542af3e93efac08d874b5

Observation bab9823e-ef03-4ee5-939d-7e2a0a2a0253 · outbound

This paper cites arXiv preprint arXiv:2501.00382 , year=.

Econometrics with Pre-Trained Embeddings for Unstructured Data arXiv preprint arXiv:2501.00382 , year=

Reference 47

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source=arxiv_source observed=2026-08-01T18:15:31.475439Z digest=sha256:759807019029f35b805d1cde19206f097115858d7ae9ba728b9db15f31035bcc

Observation dd86f701-5f8f-4fd3-ac89-6cc3b14e484b · outbound

This paper cites The Fragility of Sparsity.

Econometrics with Pre-Trained Embeddings for Unstructured Data The Fragility of Sparsity

Reference 48

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source=arxiv_source observed=2026-08-01T18:15:31.567260Z digest=sha256:0aa0877ee23a32b9a4c11aae4f22073315b7ca270a5150134a670ae70a6aa8b4

Observation be1e3b58-9c8c-4329-b5ab-84913fe34f28 · outbound

This paper cites Econometrica , volume=.

Econometrics with Pre-Trained Embeddings for Unstructured Data Econometrica , volume=

Reference 49

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source=arxiv_source observed=2026-08-01T18:15:31.682147Z digest=sha256:d15bd3493f0d6b892bb430dba63193fc104ea7f2b3ca1e9ae675fa954706d5af

Observation 12c093b7-6680-4dfd-acb4-3e9aa9b06e45 · outbound

This paper cites Foundations and Trends.

Econometrics with Pre-Trained Embeddings for Unstructured Data Foundations and Trends

Reference 50

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source=arxiv_source observed=2026-08-01T18:15:31.788286Z digest=sha256:4b4a7126b174f364a9d1862dd0a8ead732ab243b7273e54b5796c756a7c7f8b6

Observation 974bbe2d-117b-4210-8893-3abb4e6eb6c6 · outbound

This paper cites Neural Networks , volume=.

Econometrics with Pre-Trained Embeddings for Unstructured Data Neural Networks , volume=

Reference 51

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source=arxiv_source observed=2026-08-01T18:15:31.871829Z digest=sha256:eee3d876cd8be526c46eb83cf7f190e6108c465367222601b5d043e154d0ef30

Observation 900d8f2f-10c5-4cfd-9ae0-f0cfb5061641 · outbound

This paper cites From Unstructured Data to Demand Counterfactuals: Theory and Practice.

Econometrics with Pre-Trained Embeddings for Unstructured Data From Unstructured Data to Demand Counterfactuals: Theory and Practice

Reference 52

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source=arxiv_source observed=2026-08-01T18:15:31.964029Z digest=sha256:7da89d7c014afa42be008e57945c01eca355855000514b8ebd37e90261424998

Observation 1002ebbd-c5c8-4996-8b88-07ae29aff431 · outbound

This paper cites Automatic Locally Robust.

Econometrics with Pre-Trained Embeddings for Unstructured Data Automatic Locally Robust

Reference 53

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source=arxiv_source observed=2026-08-01T18:15:32.085880Z digest=sha256:944525a2b77f22c2c9fe45920a5f25185bbea133acdcb24b4c8893d72f1bdd79

Observation 9bbbd04f-c548-4349-9769-92af16e0e5f8 · outbound

This paper cites arXiv preprint arXiv:2501.16120 , year=.

Econometrics with Pre-Trained Embeddings for Unstructured Data arXiv preprint arXiv:2501.16120 , year=

Reference 54

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source=arxiv_source observed=2026-08-01T18:15:32.183589Z digest=sha256:217c51afac02da182866390c3ef9b2f36085a589efe74d3ce3261c1c9aab2dae

Observation e96b947c-6619-4bae-86d3-beab231dca1d · outbound

This paper cites Fine-Tuning can Distort Pretrained Features and Underperform Out-of-Distribution.

Econometrics with Pre-Trained Embeddings for Unstructured Data Fine-Tuning can Distort Pretrained Features and Underperform Out-of-Distribution

Reference 55

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source=arxiv_source observed=2026-08-01T18:15:32.297482Z digest=sha256:f378afdb074b5ff42934adadddca23ef974458eeba0baa5a451f7e282f55402e

Observation 65cc86f6-a3d6-4ea1-9ab8-808186d6a6c3 · outbound

This paper cites 2009 , publisher=.

Econometrics with Pre-Trained Embeddings for Unstructured Data 2009 , publisher=

Reference 56

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source=arxiv_source observed=2026-08-01T18:15:32.396314Z digest=sha256:294564c757ff7ae7ef081b2d9f015318757d6e3c31a6e2cd99265fc56a1fd085

Observation ab6a7252-6be0-4e43-8d81-fa21a38df34e · outbound

This paper cites Annals of Statistics , volume=.

Econometrics with Pre-Trained Embeddings for Unstructured Data Annals of Statistics , volume=

Reference 57

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source=arxiv_source observed=2026-08-01T18:15:32.490169Z digest=sha256:c296f57d43b64a899440f90f904a5b0503202a2a4d701e972abafce45975694b

Observation 4bf5e742-4388-425c-a943-0726f60a42e1 · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

Econometrics with Pre-Trained Embeddings for Unstructured Data Advances in Neural Information Processing Systems , volume=

Reference 58

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source=arxiv_source observed=2026-08-01T18:15:32.551221Z digest=sha256:a8c57a4f852ebadbe386e7ecbc3adcfbbc2c845d54c25c220e9c373510a8d9f0

Observation 97972741-6ff3-40f4-99e3-6f65574f7671 · outbound

This paper cites an unresolved cited work.

Econometrics with Pre-Trained Embeddings for Unstructured Data Unresolved cited work

Reference 59

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source=arxiv_source observed=2026-08-01T18:15:32.642436Z digest=sha256:e7658af24b5722d19c9329c1fdc6d594f3de9da8e1d1c048fbf7ebdbf67cf8cc

Observation ae98e009-1929-4afa-b088-7df56ec0ee2b · outbound

This paper cites Annals of Statistics , volume=.

Econometrics with Pre-Trained Embeddings for Unstructured Data Annals of Statistics , volume=

Reference 60

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source=arxiv_source observed=2026-08-01T18:15:32.703085Z digest=sha256:0953dc8e52b060b526cbf5c5ac5ee575a14408e027dfcb601e950192b2dab9ca

Observation d39e8ab8-7ac3-4195-a311-cfa599345ea5 · outbound

This paper cites The 22nd International Conference on Artificial Intelligence and Statistics , pages=.

Econometrics with Pre-Trained Embeddings for Unstructured Data The 22nd International Conference on Artificial Intelligence and Statistics , pages=

Reference 61

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source=arxiv_source observed=2026-08-01T18:15:32.764543Z digest=sha256:97342f671ce55b1a924100dd1dd65630d134890642c3c92d71a66799b79d6660

Observation bc0137d5-2c8d-4924-8cc0-f6640feb877d · outbound

This paper cites and Sun, Ji-guang , publisher =.

Econometrics with Pre-Trained Embeddings for Unstructured Data and Sun, Ji-guang , publisher =

Reference 62

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source=arxiv_source observed=2026-08-01T18:15:32.823661Z digest=sha256:85dd06b452ae024aca55f2536a252c39661a12fd2cc61b4f96a86671d70d02c5

Observation 089ac852-89cd-4d58-b6e3-b362b1432bc0 · outbound

This paper cites 1994 , publisher=.

Econometrics with Pre-Trained Embeddings for Unstructured Data 1994 , publisher=

Reference 63

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source=arxiv_source observed=2026-08-01T18:15:32.877619Z digest=sha256:9a6f022f6cdf8af18e7abb64c6a9828fd582c7b0d49dd5767c5f1541286590d7

Observation 1d8298b1-a6ad-4042-b6ac-cfcbd7dab0e9 · outbound

This paper cites 1991 , publisher=.

Econometrics with Pre-Trained Embeddings for Unstructured Data 1991 , publisher=

Reference 64

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Source-reported events for the cited work

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source=arxiv_source observed=2026-08-01T18:15:32.938371Z digest=sha256:cd6607e6bc208500c99668f3605fa9d041fa307d0bc87b8cdb63be5958dff651

Observation 917c5517-467d-4c1f-93c1-b1150dba47e3 · outbound

This paper cites 2008 , publisher=.

Econometrics with Pre-Trained Embeddings for Unstructured Data 2008 , publisher=

Reference 65

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T18:15:33.011002Z digest=sha256:3e5df31bf353ebc74d0343165f9652e56a6b16868f4cf7bbd142d77a8c8b2a0d

Observation 833fa765-1bea-4d06-ba44-89dc5092dca4 · outbound

This paper cites arXiv preprint arXiv:2511.04957 , year=.

Econometrics with Pre-Trained Embeddings for Unstructured Data arXiv preprint arXiv:2511.04957 , year=

Reference 66

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T18:15:33.072277Z digest=sha256:4b935d9c52ec7b498d3744bb75eb50183c8849bca985928a731a658a6c502801

Observation b59c78f4-c5b3-406f-b176-a5df9e0913a0 · outbound

This paper cites Annual Review of Economics , volume=.

Econometrics with Pre-Trained Embeddings for Unstructured Data Annual Review of Economics , volume=

Reference 67

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source=arxiv_source observed=2026-08-01T18:15:33.134493Z digest=sha256:0a65f25c850eb47b1623b4392deb065095abc6a2f066b87ead85e78b539ae565

Observation 422f28b5-6533-4989-ba3f-8c62d53815e4 · outbound

This paper cites International Economic Review , pages=.

Econometrics with Pre-Trained Embeddings for Unstructured Data International Economic Review , pages=

Reference 68

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T18:15:33.222359Z digest=sha256:f609c5fb8b62a882c5c99d151f00b8a6f6e9cbd2fd746229c449c7f5bfcdd63d

Observation c7d06c7b-0e82-4f45-a21e-d2aaefbc34af · outbound

This paper cites Econometrica , volume=.

Econometrics with Pre-Trained Embeddings for Unstructured Data Econometrica , volume=

Reference 69

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source=arxiv_source observed=2026-08-01T18:15:33.283717Z digest=sha256:9d3f1d0eaade23183712a1cf4c28e703a90815245df8d3b1df4b9e7673a022fa

Observation 6acf9317-5422-4013-a1e9-bb741cea73fa · outbound

This paper cites Econometrica , pages=.

Econometrics with Pre-Trained Embeddings for Unstructured Data Econometrica , pages=

Reference 70

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T18:15:33.350027Z digest=sha256:9332751d3e4f7e38c8fee7b443d3a4fda8d569b28a15275962b40095bff5f0a9

Observation a4d58b05-67d0-4c5c-b46f-6a7233ef2b9d · outbound

This paper cites Annals of Statistics , volume=.

Econometrics with Pre-Trained Embeddings for Unstructured Data Annals of Statistics , volume=

Reference 71

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T18:15:33.413009Z digest=sha256:d4fd41b010b94d2dd29956e07e7837e114e356e266bbda07676ab9cfa3316bbd

Observation 89eeb488-7a4e-4ea4-925b-cd507b381e01 · outbound

This paper cites Journal of Machine Learning Research , volume=.

Econometrics with Pre-Trained Embeddings for Unstructured Data Journal of Machine Learning Research , volume=

Reference 72

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T18:15:33.500493Z digest=sha256:0fe36938b045e34a0f660667c19e10a9399cfa6e2c06fb5d0244af349e73f310

Observation 8072645e-b823-4747-8352-78515d5a8e95 · outbound

This paper cites International Conference on Machine Learning , pages=.

Econometrics with Pre-Trained Embeddings for Unstructured Data International Conference on Machine Learning , pages=

Reference 73

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T18:15:33.553269Z digest=sha256:7cb013767271a61327b1809cb7b9d3896e31438a654de4b1c61c4f0ac8b50b7f

Observation 82646d77-42b0-4211-9d78-913c9ab6b3c9 · outbound

This paper cites Annals of Statistics , volume=.

Econometrics with Pre-Trained Embeddings for Unstructured Data Annals of Statistics , volume=

Reference 74

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T18:15:33.670760Z digest=sha256:99bb72160d0a6051421f6915a52f61dde60dd3d841dc746d9a791f2026931e7a

Observation cc1a2cd2-4fff-4191-b4fc-1112527b991c · outbound

This paper cites Annals of Statistics , volume=.

Econometrics with Pre-Trained Embeddings for Unstructured Data Annals of Statistics , volume=

Reference 75

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T18:15:33.824056Z digest=sha256:00c8460e8ee8890ff19ef0efba9cd41632ef98da5229532b6f14fd0936aea54d

Observation e6775dd9-8893-4e42-a8a0-5e11b92429ee · outbound

This paper cites Causal Inference on Outcomes Learned from Text.

Econometrics with Pre-Trained Embeddings for Unstructured Data Causal Inference on Outcomes Learned from Text

Reference 76

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T18:15:33.972865Z digest=sha256:e08397124b6847b11bba39dc24acf38ce9a452c046c1f1581230f3576f1ab9c3

Observation 3c3c80e3-d00d-436f-b997-6a7e222ac903 · outbound

This paper cites Political Analysis , volume=.

Econometrics with Pre-Trained Embeddings for Unstructured Data Political Analysis , volume=

Reference 77

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T18:15:34.086594Z digest=sha256:57a6dc6f15c1476c03e1ec07487ddab4b2f272a1ab4e3338a5b853604a0e792d

Observation ac598cb0-717e-4ccc-951e-b53368645ae8 · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

Econometrics with Pre-Trained Embeddings for Unstructured Data Advances in Neural Information Processing Systems , volume=

Reference 78

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T18:15:34.204721Z digest=sha256:8157b573d3af139dd0e423cc19e08f3769ffe5a0450ae8713cb54969a095665b

Observation d0ed0fbc-8d6a-4878-839a-77a94a965a51 · outbound

This paper cites arXiv preprint arXiv:2505.00526 , year=.

Econometrics with Pre-Trained Embeddings for Unstructured Data arXiv preprint arXiv:2505.00526 , year=

Reference 79

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no resolver link, observed 2026-08-01T18:15:34.346122Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T18:15:34.346122Z digest=sha256:d82184de7a5653e68c5a7097cea1c6d8dd8cbfe040cc545e35f11a262f78a8f4

Observation 146273c7-7858-4567-9b5e-48620805c20b · outbound

This paper cites Making Interpretable Discoveries from Unstructured Data: A High-Dimensional Multiple Hypothesis Testing Approach.

Econometrics with Pre-Trained Embeddings for Unstructured Data Making Interpretable Discoveries from Unstructured Data: A High-Dimensional Multiple Hypothesis Testing Approach

Reference 80

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T18:15:34.470366Z digest=sha256:45846fafd113f39b624a59a6e8a4d849ec442312a6bf617ba89fc0674517cd48

Observation 87ee6ac4-a0f2-4d14-8e0b-5beba0cb93fa · outbound

This paper cites Annals of Statistics , pages=.

Econometrics with Pre-Trained Embeddings for Unstructured Data Annals of Statistics , pages=

Reference 81

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T18:15:34.554309Z digest=sha256:352ff137ed4eba8b449ed31f2766c1a908aa3169775ed0f0bca3067f30287749

Observation 7ef17d40-b068-446c-9f63-6e63b04eb6a1 · outbound

This paper cites Econometrica , pages=.

Econometrics with Pre-Trained Embeddings for Unstructured Data Econometrica , pages=

Reference 82

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source=arxiv_source observed=2026-08-01T18:15:34.671784Z digest=sha256:fe1ac75f035ad269fd074a86e75b89c466ac4a1469e4c79a39815da6ffd3519e

Observation 748f5a8e-7c30-4d0c-900d-ef7abf3d380d · outbound

This paper cites Biometrika , volume=.

Econometrics with Pre-Trained Embeddings for Unstructured Data Biometrika , volume=

Reference 83

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source=arxiv_source observed=2026-08-01T18:15:34.819280Z digest=sha256:dc417eeef17d3cb5af9414a0c40222bfbf74091226a4421725bd583d743efb7e

Observation aeaccc11-23ac-4312-b3a3-f6b2910f027b · outbound

This paper cites Biometrika , volume=.

Econometrics with Pre-Trained Embeddings for Unstructured Data Biometrika , volume=

Reference 84

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no resolver link, observed 2026-08-01T18:15:34.907119Z

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source=arxiv_source observed=2026-08-01T18:15:34.907119Z digest=sha256:5c4220ee3e83694b85e2643479758cd525ab1143cbb4c8bf24f01aeb4dbbbc6e

Observation 584928fb-6445-4c14-983c-90ca608ab00c · outbound

This paper cites IEEE Transactions on Knowledge and Data Engineering , volume=.

Econometrics with Pre-Trained Embeddings for Unstructured Data IEEE Transactions on Knowledge and Data Engineering , volume=

Reference 85

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no resolver link, observed 2026-08-01T18:15:35.027661Z

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source=arxiv_source observed=2026-08-01T18:15:35.027661Z digest=sha256:06e70711d9d376d2e5fd8a3ec09cac1d8dd9934fc58653e0d6066aeefdb6c2bb

Observation 47511037-188e-47d8-8878-c842449e8d9c · outbound

This paper cites Science , volume=.

Econometrics with Pre-Trained Embeddings for Unstructured Data Science , volume=

Reference 86

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no resolver link, observed 2026-08-01T18:15:35.102682Z

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source=arxiv_source observed=2026-08-01T18:15:35.102682Z digest=sha256:03891f77a8bfd11fd5241c48e56bb4e8ebd031c2d64647a5a09dd6a03157d5d1

Observation ea471afa-b402-4637-86d4-9bfdb5ce5eed · outbound

This paper cites Review of Economics and Statistics , volume=.

Econometrics with Pre-Trained Embeddings for Unstructured Data Review of Economics and Statistics , volume=

Reference 87

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source=arxiv_source observed=2026-08-01T18:15:35.189086Z digest=sha256:66dd38ff5ffd63f492bc66e127fc8c9bfa11cbf529686a3c754839b88b7feffd

Observation 18412c22-76f9-436e-881e-64d8fca1b856 · outbound

This paper cites Econometrica , volume=.

Econometrics with Pre-Trained Embeddings for Unstructured Data Econometrica , volume=

Reference 88

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no resolver link, observed 2026-08-01T18:15:35.272026Z

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source=arxiv_source observed=2026-08-01T18:15:35.272026Z digest=sha256:bf7e6d4d54cf18dd12c859cd4e46dcc447eae31e61701a58e2f85129ecbb4cc8

Observation 9a9b16ed-eef1-4443-8b41-c93d5ef40c97 · outbound

This paper cites Econometric Theory , volume=.

Econometrics with Pre-Trained Embeddings for Unstructured Data Econometric Theory , volume=

Reference 89

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source=arxiv_source observed=2026-08-01T18:15:35.358037Z digest=sha256:db5e78efaf2bb53455b1b9036679e8df9fe13a230b974ca4182c192f766bf61b

Observation 69fb5156-6952-4392-a4bb-52ec6e9ae855 · outbound

This paper cites Journal of Business & Economic Statistics , volume=.

Econometrics with Pre-Trained Embeddings for Unstructured Data Journal of Business & Economic Statistics , volume=

Reference 90

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no resolver link, observed 2026-08-01T18:15:35.436873Z

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source=arxiv_source observed=2026-08-01T18:15:35.436873Z digest=sha256:7d1ac6d4c0739fefef645c5b5b653fd2ac0084b5106493f6fa91fbf65fdffcce

Observation 1453df91-c799-440c-86a3-6e16dde4c0b4 · outbound

This paper cites American Economic Review: Insights , volume=.

Econometrics with Pre-Trained Embeddings for Unstructured Data American Economic Review: Insights , volume=

Reference 91

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source=arxiv_source observed=2026-08-01T18:15:35.522737Z digest=sha256:d81156034484ea9b8a278b17465a143a9dd7bbef3be923fdc55fcd785bb73f9a

Observation 4868f2d8-4044-4544-b7f9-ea50b8f8c7b9 · outbound

This paper cites American Economic Journal: Microeconomics , volume=.

Econometrics with Pre-Trained Embeddings for Unstructured Data American Economic Journal: Microeconomics , volume=

Reference 92

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source=arxiv_source observed=2026-08-01T18:15:35.640156Z digest=sha256:ba8193ee8a2adcc1a64720eb50f9a43eb3dabde45695411bfa113a103df5582c

Observation 523b63fb-68f4-47ff-a7b3-03718f0dea1b · outbound

This paper cites Journal of econometrics , volume=.

Econometrics with Pre-Trained Embeddings for Unstructured Data Journal of econometrics , volume=

Reference 93

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source=arxiv_source observed=2026-08-01T18:15:35.718856Z digest=sha256:483d59768174db4f517f66ef22ed2d21eb5e4925d59c513d54398b52443fffa2

Pith citing papers

No inbound Pith citation observations are available.