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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 9 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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T17:54:24.709692Z digest=sha256:4cc3e65cb91a55fab1932973fa625383ba7255fdb9eb2dfc59fb8c95493e8894

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=sha256:20baa37338507581d20a40af18d23e48b960975af74ced0be9f3ffb305bc2f5a

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=sha256:9d29b94682e5934930c2ff0337a2eaee7c0ac06e20abbef1d33fafa1b4c8db0a

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T17:54:24.881748Z digest=sha256:9ba83cd207adf147514f9a9621d238d1e0f3dc92217534eebc9ffd04dfbbec15

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:ab53ae6c3b329054ec201b2df532e7c7f0e8d3ac84300e6b47756947d72c7d01

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T17:54:25.024399Z digest=sha256:a5f0f51d884120343b24530560c8efb5b49d5aeac388535f8dd3886676a987fc

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T17:54:25.085609Z digest=sha256:ee02028819c3e1e29c067fac0f86fc03ceca13e1484121a75e3bb5ad3f184ba1

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=sha256:1711cfacc4c7e59d554427d5792cc07e1fd960f07867de086f891d0e0e77ab9f

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T17:54:25.241833Z digest=sha256:4176a14c660962f32abe06df6fb0cf50f35daf2880d262c10457439525e6be0c

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=sha256:0a9a4ba82f2b90ab5a4425ac019d422c7532c39e03489bef68f05efcf28ef4e1

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:fe8960f8db46291efe2552d069840e6d978356308bd25e3975d58ba8b9f0c224

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T17:54:25.475956Z digest=sha256:4340644487e77d7d59e04e1dad1490150a9315520e8fda0bfb8189046cafa03a

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:da5d3fe5a1b205371bea299ec6f509df64cd8a404dc1f5885d9f6d89a954b3c0

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=sha256:04f92bcef90b3bdacfe8820445decebaf840f4d74a89eefa16ff250a77fe9510

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:e5fd555bdd1034913eac0f51f7acfff727b17f0848ef2c9732ceb0a1813b7ec7

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=sha256:4ca3a2c8b88c08e95e4e56d40e244520ad349c25ed075181393d93453d04673c

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=sha256:7c7ba2fdc38e9d596addc7716adac1484aa9694e0719a2dd02146fa69d521ad5

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T17:54:25.897749Z digest=sha256:4e1bf442bc34628d84c3f3e54675acbc199666c63e65bbb06cd2fae20e3b4984

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T17:54:25.986244Z digest=sha256:edde21332984d68d3fee682d91b9ad691638bbfc14f35692bb6d59b34ad5b315

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T17:54:26.084580Z digest=sha256:133c14ab9875cbb42e1122ae2812be1e550556aa2472d523f8b87c5d769f836c

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T17:54:26.178803Z digest=sha256:626cdcb7dca062c0841555ece6aa5558262d68fce2d72c29333076a1ec147f3a

Pith citing papers

No inbound Pith citation observations are available.