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Paper Citation Record · LEDGER

Econometrics with Pre-Trained Embeddings for Unstructured Data

As of 10 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 2026-08-10T06:31:04.303077+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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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:f3679f635edc1daa4b78cb55372fa74c72f427d1442029780e804f93f7636d9c

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=sha256:9face0bf9746fbbda681da5875e329e5172cbf4db5b8b04c73ba1df2441c6f40

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:fa60477f38239673446c2d3e7d2e262c7cd26d94c9ec6600aa973871fb4f205c

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:ea3b33aa86da0129707634fbb45fcd399e4991914efce5610993bbaab8d3885d

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=sha256:10540dd20d074074ce86e05bb7e2a4ec36ab55a77ea7a7c5e71b9e7032713452

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=sha256:5d90e31e63e628e4ae611d9986ffcc461decd99eb80e336bc754ed73470ab932

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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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=sha256:1c07d9ca8db264884ba0cba69e2932dc2b0cc330e0259c01bd655f63f22a2af7

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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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=sha256:2c158f061d57d14b20e087f6877a9a9b06a34567a11eeb21259d2ab07a30b4db

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=sha256:50319ee9b4760df4d29e756e6c8d1a422d0b7cde10dadaf4f3426cbfde1f57bd

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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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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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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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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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:e914d00995f683dca7fcc5fdc7602961ddb7e05d1ecc0f3ee6fb5f30baf263b8

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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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=sha256:21b7d26bc199f95ea778418ae194d8de516eab47ca2fc513450396f54c3e4331

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:a0851c044021be2a8acd9bb8c4b9f3c5509326e61d84e19a32a21fb4f35f4e76

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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source=arxiv_source observed=2026-08-01T18:15:28.322349Z digest=sha256:d3b83d981c93ec9d8350688e25839c9b6267ff275ab5d1dc4be1b6045e1d0176

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=sha256:6dd80f77d128d119f7fea01dc98180ed52398745f0ae9c7d737725c319eff693

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=sha256:3bf95f4813828e8a7db01bc59b9661cfa8368f37239766f990acf553f8d154a1

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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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:ce5fa300101f94d20cc6c13f2ac4255c4065a5876a6cc95b0aacb24d7a2a2e26

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

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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=sha256:85f687cd4002c981135a43d0d953071c02c5b79d8133cac50f318bc7792d8f53

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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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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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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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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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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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=sha256:166fc8a85191b7a413c7d76bef71b87debad133335b164a7097b05c2371f89ff

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=sha256:12378c20403c0ce99d6e0ce8f98641b14ca01e3c831d302c1405f92e220c2b4c

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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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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source=arxiv_source observed=2026-08-01T18:15:30.063819Z digest=sha256:8860c3e1abbef6c3aa4f5286abd32181235c2d340450a692e5c1437a35f28bb3

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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source=arxiv_source observed=2026-08-01T18:15:30.225729Z digest=sha256:a94d12bfe17824a1440ffad9e3b985325aa37910ed6297ed0438d9775b99ab5a

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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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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source=arxiv_source observed=2026-08-01T18:15:30.439098Z digest=sha256:45b8dbbe91ba0e554d5f137e0055a687e4e2a5fb549b6362b259dff8a0401876

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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source=arxiv_source observed=2026-08-01T18:15:30.549208Z digest=sha256:359039ee69fc48d161ceda1d4e1b83f31bac8b2477694373e30a11cb14bdd2af

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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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T18:15:30.701453Z digest=sha256:6311c5e0f31192b942943af6ee49355cd89148b8bc0295045e1789c4239229c6

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:c1eaeefe87a48c3bcfa3f62d1e6c3eed1837a2d2c3bce53b5d3c2c1e2f2784a8

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:f329ef058a29589fc21450586550cfbab6c30f78180ffa1e4cdb014a2160d94d

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=sha256:2988d2714e406dea6992aa39265b31f020a52d96c09bc53ad05a740b5cc2bd13

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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no resolver link, observed 2026-08-01T18:15:31.232508Z

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source=arxiv_source observed=2026-08-01T18:15:31.232508Z digest=sha256:28d1bf4c58f032a8d5fc4a7d24060c06ccc9110b00fc50493426d82f094562a7

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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no resolver link, observed 2026-08-01T18:15:31.342425Z

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source=arxiv_source observed=2026-08-01T18:15:31.342425Z digest=sha256:fb3b7bf9fb73fe149e94db5d867106e2f629d0672f5c345d58a32dbc92d49410

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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no resolver link, observed 2026-08-01T18:15:31.379848Z

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source=arxiv_source observed=2026-08-01T18:15:31.379848Z digest=sha256:4e03cc59b919ff82cf5adb67b059d35962b1b78a3ffb04074863bc410dedd3ca

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=sha256:82caa98ccd5e31694f0c1cd9a6bc615aa11bac77317cb631843f380950d21b5a

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=sha256:337468d6f5fbf26e9b6c4af5673e9e39eb2a27bd28772cd963c9d9529c2b260c

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=sha256:4b0d146b172ff23e5dece05d2bd73107b6eae0725465099fcf9b702ad2e3d712

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:dd625201b252b769b95f12c5a7a6a98e095f4c3aae805ed72d879f873f582c74

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:de8588f424b7cd3b37e623a86c4ef6827547ed1db6af0f41893709e9b6cffc44

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:ee3a8174b1750206295ee5d9e862e3fd6ebdec9ecc64735315f12ac4962327e9

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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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T18:15:32.085880Z digest=sha256:41809ddcf930e3ed59246b04d43ba11f77d1b54c5d04db3d858eb2270fa93973

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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no resolver link, observed 2026-08-01T18:15:32.183589Z

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source=arxiv_source observed=2026-08-01T18:15:32.183589Z digest=sha256:74325cf4a55ea49a1fc10d46fe46e7543188f5a3c6a3a482ce1977b1c5d64686

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=sha256:9b2b810e43aaebd5ffa39bee80859e2e1256db1cf69dadc5675fd21df13a959b

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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no resolver link, observed 2026-08-01T18:15:32.396314Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T18:15:32.396314Z digest=sha256:12067835d2f29abfdee2d70fe21e219b2a8a83595b7e7fb6cbde85954b627eab

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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no resolver link, observed 2026-08-01T18:15:32.490169Z

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source=arxiv_source observed=2026-08-01T18:15:32.490169Z digest=sha256:3ee2dad437d21a8c16f411f811ff177e8c4cb96a2b81edf478f8fba815ea02b7

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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no resolver link, observed 2026-08-01T18:15:32.551221Z

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source=arxiv_source observed=2026-08-01T18:15:32.551221Z digest=sha256:0f8e40a8260873c7410c4c6cf50d7cfb7e4f7e0f1e05eec61d6bc5bebb0c371b

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:c4f608f291cb9f4099c87b664cf75d097eac1f8153953b6dd35f2bcf33d26673

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=sha256:75cac955c405569c41fa7c61f9cc85abd2cc2703b981adb0a7572d2a2d5705ad

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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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T18:15:32.764543Z digest=sha256:8a981765ab8d38500265d7e14d7765e80f44d785b7e46fba6703f684551ec47c

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=sha256:9c196e04b4be9233839a665419737967fae2fdcfc64883d4ee1a9d7a4b916a78

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=sha256:5b8780be1e3f7423676f83aaf34254269218a20aa662631f9c1634c40a95c9a5

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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no resolver link, observed 2026-08-01T18:15:32.938371Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T18:15:32.938371Z digest=sha256:e76a1b1b5c9660b5beac9b95104a475e34fbf96f5c657dbcfcfe1b76a26c1f3b

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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no resolver link, observed 2026-08-01T18:15:33.011002Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T18:15:33.011002Z digest=sha256:2b59847412e8494ac2eb2b200d7ddf8ad4557352a615426549e403c4f72da5bf

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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no resolver link, observed 2026-08-01T18:15:33.072277Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T18:15:33.072277Z digest=sha256:aba728c1c61df1acd5a8b171d6d806f474375ac96303631e4bd30d85f9a75a17

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-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T18:15:33.134493Z digest=sha256:a7929006bb9738e46372ecaf1352a8f8c66d980b7276d004ab46f7c38666f655

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:f10422c94c32f4058bb074e2fdeb16a51cfa33aa064294c7cb075df120a5a51b

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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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T18:15:33.283717Z digest=sha256:b60917af99e2cd83b52f87e60df145071a76755bf6c87dc6ed3ee6aa7a93f287

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:a228ab1a47f10053837b8c27acdbf6628beeca424e16994375877083cbf0605b

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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T18:15:33.413009Z digest=sha256:4ecd350adbd665d3fca5f47d4b12630f1ea4a079a2f8faa6831079f302bdef7e

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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T18:15:33.500493Z digest=sha256:de4f9597af009f990512d515f40b852a618215fecbb511b88d609b5da990b9ba

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:a88ca06f68dd49c5303de55908ddd639dd27b2bc992a95dbb239c21b50d1438f

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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no resolver link, observed 2026-08-01T18:15:33.670760Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T18:15:33.670760Z digest=sha256:b60cd6f143b78c0505b68e12dbeb119933f486c924ec855af79c6ce572f38057

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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no resolver link, observed 2026-08-01T18:15:33.824056Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T18:15:33.824056Z digest=sha256:e79e8bb3a4dca06e3bba52cc1536d99f09f63b91e84f5351f9b3277b6d238d2e

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=sha256:95c6322279f49271730735a883a5ae737bef22b63f8fc811983aedbc2630da35

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=sha256:42f688636f5b8fd06043c21648b1551f1ef984b0f0e94f95e2237b35a359c509

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=sha256:22904c6ca17f8d6777b3d7cabf39029436663c30aedabb8775b5866bd01586c3

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:e24b902de7b858b38e4d29d117290b39661da67fee6d2fd3ba7fe2ec6e82cc51

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:c2022e6f079bc5c927ac763215a59b23c4d2232f533c381137f6fa4eea0c3818

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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T18:15:34.554309Z digest=sha256:09b2f3de261409e1831a12780f5b23cf7ea98c24792d32ca5e43d458f500c446

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-reported events for the cited work

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source=arxiv_source observed=2026-08-01T18:15:34.671784Z digest=sha256:2e8229741573fdbf68810ebf4503282a59c162af163932f0ee7c52798d1cec5f

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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no resolver link, observed 2026-08-01T18:15:34.819280Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-01T18:15:34.819280Z digest=sha256:28536cb759379ef2b42ffc6e3fc3b267cce004d6469d774f7f059baba651fbf9

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

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-01T18:15:34.907119Z digest=sha256:394e70c98e4b9739f753055c8001d8cae561a4551f1f303ddf0606726e84b39e

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T18:15:35.027661Z digest=sha256:c8d95331f2bd51bb361391c00e0b456a5aab71ea1a0c6d743f1a14fedbf60d6b

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

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-01T18:15:35.102682Z digest=sha256:51ef24f0c05ea6a80008013499f74216620cd4e49c143a7695287e381dfe05ae

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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no resolver link, observed 2026-08-01T18:15:35.189086Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-01T18:15:35.189086Z digest=sha256:b021b9f0effcc9e5e82bc183867cdd30e526c0a572edfcc6ead76bcc456f73f0

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

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-01T18:15:35.272026Z digest=sha256:c62b45fe37ba8a34533effeb38dc0ce3dbebdd07bc50725dc5aac356b0600868

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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no resolver link, observed 2026-08-01T18:15:35.358037Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-01T18:15:35.358037Z digest=sha256:05580bf4212a9892cb8c39a97c4d2c2d4e3b4eaba6196df29cb061f3d51fd629

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

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-01T18:15:35.436873Z digest=sha256:53ec8583b00342e5fe65d5eeca93e1ffc6dc0e64ea67cdc91f65d2af44055dce

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:f346c6dd8d272aa9bc537b376b50d650b9472c1ec4391c39e7d2eac85ae83d16

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-reported events for the cited work

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source=arxiv_source observed=2026-08-01T18:15:35.640156Z digest=sha256:020c8c19405f992d38b448a0a1309c454a5a4d5c8280aa80ec89effe7f613fe4

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=sha256:9a182179e4cbb8eef20b9ca39e4eb4eef1d5c90bbfc00344ece3dfdc3979c871

Pith citing papers

No inbound Pith citation observations are available.