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Paper Citation Record · LEDGER

Bridging Structural Causal Inference and Machine Learning The S-DIDML Estimator for Heterogeneous Treatment Effects

As of 8 August 2026, this Paper Citation Record lists 21 of 21 outbound references and 0 inbound Pith citation observations for arXiv:2507.09718.

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

pith.paper-citation-record.v1
2507.09718 v1

Coverage vector

measured 21 of 21 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T17:54:26.178803Z

measured 21 of 21 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+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

21 of 21 outbound references displayed

  • verified exact6
  • verified fuzzy2
  • unresolved12
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 50f5f788-fee9-41fc-b1ac-f33ca8f753cf · outbound

This paper cites an unresolved cited work.

Bridging Structural Causal Inference and Machine Learning The S-DIDML Estimator for Heterogeneous Treatment Effects Unresolved cited work

Reference 1

Resolution
verified exact
doi, observed 2026-08-06T17:54:26.980389Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T17:54:24.709692Z digest=sha256:8e58020efbab6a8cdfa9bcd6af1bbc5a1c38cebdefc0c43569e072a923544e31

Observation 747d6cff-e2be-425e-81dc-d0e1e99daddf · outbound

This paper cites an unresolved cited work.

Bridging Structural Causal Inference and Machine Learning The S-DIDML Estimator for Heterogeneous Treatment Effects Unresolved cited work

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-06T17:54:24.771623Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:54:24.771623Z digest=sha256:0a78b2d14b78b88dc5fa516b32ac957b17edbf2b5da9ed28eb0c107ce0502e85

Observation 993d18b8-aa2e-4d41-9d53-5db08ca92d85 · outbound

This paper cites an unresolved cited work.

Bridging Structural Causal Inference and Machine Learning The S-DIDML Estimator for Heterogeneous Treatment Effects Unresolved cited work

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-06T17:54:24.839511Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:54:24.839511Z digest=sha256:dc23256cbe4e3aeb3265d9452ffcab60849be41486824da7e3800a5e9b598d21

Observation 3f3ef390-9119-4986-a097-2ecbb02eef2b · outbound

This paper cites an unresolved cited work.

Bridging Structural Causal Inference and Machine Learning The S-DIDML Estimator for Heterogeneous Treatment Effects Unresolved cited work

Reference 7

Resolution
verified exact
doi, observed 2026-08-06T17:54:26.860276Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T17:54:24.881748Z digest=sha256:1b8b071712ec3b447c42243e2b17fb1a8a75f8e9baa3f23f30d0282ccc2bf49f

Observation 54817c31-d168-41e1-a154-dfee9c4c04e7 · outbound

This paper cites an unresolved cited work.

Bridging Structural Causal Inference and Machine Learning The S-DIDML Estimator for Heterogeneous Treatment Effects Unresolved cited work

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-06T17:54:24.972020Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:54:24.972020Z digest=sha256:0577dd887a8482ef4da55c92bdfccec18527c4f11fadc0e43b9b60aafefca90a

Observation 83e1f45e-1d68-4bce-90fe-609e5e56772a · outbound

This paper cites an unresolved cited work.

Bridging Structural Causal Inference and Machine Learning The S-DIDML Estimator for Heterogeneous Treatment Effects Unresolved cited work

Reference 9

Resolution
verified exact
doi, observed 2026-08-06T17:54:26.759146Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T17:54:25.024399Z digest=sha256:4bd395cdcb817946f2add1a8730672adba4407b0cd826fb32dd646b3d88e4479

Observation a500a71d-1414-4540-8123-a3818cba95db · outbound

This paper cites an unresolved cited work.

Bridging Structural Causal Inference and Machine Learning The S-DIDML Estimator for Heterogeneous Treatment Effects Unresolved cited work

Reference 10

Resolution
verified exact
doi, observed 2026-08-06T17:54:26.675406Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T17:54:25.085609Z digest=sha256:a91dd44a16955bc8ff7325a0fb2d1c3fa7f1e7b03a795eb6cf75da8ed90a4166

Observation 2a3799ab-86da-4be1-98df-c85d03061a42 · outbound

This paper cites an unresolved cited work.

Bridging Structural Causal Inference and Machine Learning The S-DIDML Estimator for Heterogeneous Treatment Effects Unresolved cited work

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-06T17:54:25.148636Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:54:25.148636Z digest=sha256:c8398158be26a918615a2a403253d6ccb3daf1e6db32477dfee611b9b39875ba

Observation 9ebd6efe-715c-49f2-b266-3c6328964e8a · outbound

This paper cites an unresolved cited work.

Bridging Structural Causal Inference and Machine Learning The S-DIDML Estimator for Heterogeneous Treatment Effects Unresolved cited work

Reference 15

Resolution
metadata mismatch
raw_fallback, observed 2026-08-06T17:54:27.355325Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T17:54:25.241833Z digest=sha256:30215d90c670034694d2f4dfb15c40f87015a417d2fa35e9604161d1aa9e0c64

Observation f7dee54d-f99d-4e81-a625-04119b87ad26 · outbound

This paper cites an unresolved cited work.

Bridging Structural Causal Inference and Machine Learning The S-DIDML Estimator for Heterogeneous Treatment Effects Unresolved cited work

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-06T17:54:25.342697Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:54:25.342697Z digest=sha256:5b8d26d251125009f9d509ef35e75dfd864e6ad64ab6c35592c55e5e4f295834

Observation 7631d037-7bf3-4e66-90ba-e63539f16996 · outbound

This paper cites SidechainNet: An All-Atom Protein Structure Dataset for Machine Learning.

Bridging Structural Causal Inference and Machine Learning The S-DIDML Estimator for Heterogeneous Treatment Effects SidechainNet: An All-Atom Protein Structure Dataset for Machine Learning

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-06T17:54:25.416991Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:54:25.416991Z digest=sha256:4b342d7d345ef342d8e221adcedcc8bfc2735427d02a2d2a3cd18f948239c393

Observation 8026e778-9aea-4eb5-8ae9-5c836e904c04 · outbound

This paper cites W., & Rubin, D.

Bridging Structural Causal Inference and Machine Learning The S-DIDML Estimator for Heterogeneous Treatment Effects W., & Rubin, D

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:54:27.640541Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T17:54:25.475956Z digest=sha256:e75a5fc66c492b3398e3abd34dc23ced74a01974559072a1dd5a704d5f9b33d8

Observation e99cc378-2937-41d8-a1fe-74543fcde149 · outbound

This paper cites an unresolved cited work.

Bridging Structural Causal Inference and Machine Learning The S-DIDML Estimator for Heterogeneous Treatment Effects Unresolved cited work

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-06T17:54:25.517210Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:54:25.517210Z digest=sha256:4836a9ca37678b491586348381d156dde47bfe52ae2d9836b9e9da6a95a5aa8d

Observation 4a4849ca-4816-471f-baaf-cd0f6d3b4db4 · outbound

This paper cites an unresolved cited work.

Bridging Structural Causal Inference and Machine Learning The S-DIDML Estimator for Heterogeneous Treatment Effects Unresolved cited work

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-06T17:54:25.625827Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:54:25.625827Z digest=sha256:bc13d308579a4bde183b30daf3080a6c8168e07ff1ef33da72512386feec4944

Observation fdbf8311-36c5-4fd4-a90b-04cf16070e20 · outbound

This paper cites an unresolved cited work.

Bridging Structural Causal Inference and Machine Learning The S-DIDML Estimator for Heterogeneous Treatment Effects Unresolved cited work

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-06T17:54:25.722181Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:54:25.722181Z digest=sha256:51a9433771ffe73537ec18d36e41491c527a65385dd06aa12cbdf155306ac312

Observation 2d021fd0-45d9-4bc0-9c36-8d57dc570301 · outbound

This paper cites an unresolved cited work.

Bridging Structural Causal Inference and Machine Learning The S-DIDML Estimator for Heterogeneous Treatment Effects Unresolved cited work

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-06T17:54:25.794300Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:54:25.794300Z digest=sha256:14b65b91645241e1d2f667933b79e40bde2ef38520e315b04452399aaca7f078

Observation 4d413db0-9a70-4cc9-9fdc-81a5de7a80ff · outbound

This paper cites an unresolved cited work.

Bridging Structural Causal Inference and Machine Learning The S-DIDML Estimator for Heterogeneous Treatment Effects Unresolved cited work

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-06T17:54:25.863305Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:54:25.863305Z digest=sha256:5c55b77c083221c97a08b5791ab96874e3d6e6bd081aacbec13a0ce7ccaea19e

Observation 9758a876-7fc5-41a8-b9f9-ee7affd4cb24 · outbound

This paper cites an unresolved cited work.

Bridging Structural Causal Inference and Machine Learning The S-DIDML Estimator for Heterogeneous Treatment Effects Unresolved cited work

Reference 35

Resolution
verified exact
doi, observed 2026-08-06T17:54:26.482397Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T17:54:25.897749Z digest=sha256:fd6b6402f13817aa4254871dee28899ade89c784aa1800bdba24200eb9f695df

Observation bbbe8b29-ca1d-4e27-85e0-911f653a33fe · outbound

This paper cites an unresolved cited work.

Bridging Structural Causal Inference and Machine Learning The S-DIDML Estimator for Heterogeneous Treatment Effects Unresolved cited work

Reference 36

Resolution
unresolved
raw_fallback, observed 2026-08-06T17:54:27.567383Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T17:54:25.986244Z digest=sha256:536d87a03e2e974dd9d4d5ba9c1a71bcc0d126f54f135995618dea155a7a9d6a

Observation 4373d7af-88a2-4af5-b27e-6b95310082f1 · outbound

This paper cites J., Pinto, R., & Savelyev, P.A.

Bridging Structural Causal Inference and Machine Learning The S-DIDML Estimator for Heterogeneous Treatment Effects J., Pinto, R., & Savelyev, P.A

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:54:27.436516Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T17:54:26.084580Z digest=sha256:9793aeb5c946d651f667dc1e98b52bca9953c922232c79d194be9a52c49baa51

Observation 9b0cf676-a445-4bbb-922d-f9ec44c6cdde · outbound

This paper cites an unresolved cited work.

Bridging Structural Causal Inference and Machine Learning The S-DIDML Estimator for Heterogeneous Treatment Effects Unresolved cited work

Reference 40

Resolution
verified exact
doi, observed 2026-08-06T17:54:26.343276Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T17:54:26.178803Z digest=sha256:560bccecf3bae4750c7d3e936704b0ccc0c924bd37d02907102212b6564ef2ba

Pith citing papers

No inbound Pith citation observations are available.