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Paper Citation Record · LEDGER

SidechainNet: An All-Atom Protein Structure Dataset for Machine Learning

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 15 inbound Pith citation observations for arXiv:2010.08162.

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

pith.paper-citation-record.v1
2010.08162 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 15 of 15 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 15 of 15 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T19:06:00.543877Z

measured 1 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

1174
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation d3fd9553-f469-4016-b20f-9ecaa9590ee7 · inbound

Partial identification of principal causal effects under violations of principal ignorability cites this paper.

Partial identification of principal causal effects under violations of principal ignorability SidechainNet: An All-Atom Protein Structure Dataset for Machine Learning

Reference 17

Resolution
verified exact
arxiv_id, observed 2026-05-23T07:42:42.803841Z

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=arxiv_source observed=2026-05-23T07:38:29.653037Z digest=sha256:e095a8f7bb01acd114bd3530b46d4871c3c91eccc00545d1ad51370642bac1d6

Observation a531bb6e-8899-4810-9939-20c2a6f3f381 · inbound

Deep Disentangled Representation Network for Treatment Effect Estimation cites this paper.

Deep Disentangled Representation Network for Treatment Effect Estimation SidechainNet: An All-Atom Protein Structure Dataset for Machine Learning

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-06T19:06:00.543877Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:06:00.543877Z digest=sha256:3ecb4085878c183f3189c8dea50600960cd12dac7b0ff6341c1bfcdb8db5cb5b

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

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

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 34bcbace-f6a9-406c-a003-ce4b22769342 · inbound

Incorporating structural uncertainty in causal decision making cites this paper.

Incorporating structural uncertainty in causal decision making SidechainNet: An All-Atom Protein Structure Dataset for Machine Learning

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-06T10:47:03.297986Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:47:03.297986Z digest=sha256:e0dbaefcb59f307086076a7f77f78d26258a1be9f6112ad4630a6c932e353758

Observation a74e7869-0316-42b4-9c16-761d4fa441ba · inbound

Optimal Interference Signal for Masking an Acoustic Source cites this paper.

Optimal Interference Signal for Masking an Acoustic Source SidechainNet: An All-Atom Protein Structure Dataset for Machine Learning

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-05T18:12:19.940614Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T18:12:19.940614Z digest=sha256:957ed202629b45377ef8dc9f0f48f5ec3ded5aeaacc9e66df220206d741de793

Observation dd0f67a0-293b-4e03-a9d0-5950832e4d9a · inbound

Precision Mental Health: Predicting Heterogeneous Treatment Effects for Depression through Data Integration cites this paper.

Precision Mental Health: Predicting Heterogeneous Treatment Effects for Depression through Data Integration SidechainNet: An All-Atom Protein Structure Dataset for Machine Learning

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-05T06:02:03.511701Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T06:02:03.511701Z digest=sha256:82dafd603926323bcf5cd43da4459be5b7c07b1ecd3efe104d389fc65a192c1d

Observation d5d14aa7-0cc3-409f-9b28-12b668f60f33 · inbound

Multiscale Carbon Burden of Infrastructure in the United States cites this paper.

Multiscale Carbon Burden of Infrastructure in the United States SidechainNet: An All-Atom Protein Structure Dataset for Machine Learning

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-04T11:18:23.606808Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T11:18:23.606808Z digest=sha256:4c110d4ce0cacf88a6936593cd9863cb756903ccbd6fa22b1b0acc699e04cc15

Observation 74958bfc-4c16-45e6-bb84-cb09847412f8 · inbound

Kernel Treatment Effects with Adaptively Collected Data cites this paper.

Kernel Treatment Effects with Adaptively Collected Data SidechainNet: An All-Atom Protein Structure Dataset for Machine Learning

Reference 20

Resolution
verified exact
arxiv_id, observed 2026-05-18T07:51:03.728362Z

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=2026-05-18T07:47:01.559121Z digest=sha256:4c3d02bd9a914cc8169f8466fb60487d2f9523df00ac5cc70a11d932ce42272c

Observation e461a504-9f12-4e35-8c3a-dcf74c8dff6d · inbound

A renormalization-group inspired lattice-based framework for piecewise generalized linear models cites this paper.

A renormalization-group inspired lattice-based framework for piecewise generalized linear models SidechainNet: An All-Atom Protein Structure Dataset for Machine Learning

Reference 268

Resolution
metadata mismatch
arxiv_id, observed 2026-05-08T20:59:11.925060Z

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=arxiv_source observed=2026-05-08T15:49:33.695290Z digest=sha256:36cc88c318f38be0f99458c1526f9769cac3ffeacfc97d147ce2c42f0ef70e07

Observation 18d1d8aa-070d-4138-acac-04ec75ac782d · inbound

Generative AI-Based Monte Carlo Simulation for Method Evaluation Using Synthetic Multilevel Data cites this paper.

Generative AI-Based Monte Carlo Simulation for Method Evaluation Using Synthetic Multilevel Data SidechainNet: An All-Atom Protein Structure Dataset for Machine Learning

Reference 62

Resolution
metadata mismatch
arxiv_id, observed 2026-05-08T22:39:20.300912Z

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=arxiv_source observed=2026-05-08T08:10:21.640857Z digest=sha256:a466e55a3f7688a59e650578ba4ca6160c41fbcbcfc5480934145a853be12850

Observation b7b723aa-d82f-4311-b73e-2f2fdbea3104 · inbound

CIVeX: Causal Intervention Verification for Language Agents cites this paper.

CIVeX: Causal Intervention Verification for Language Agents SidechainNet: An All-Atom Protein Structure Dataset for Machine Learning

Reference 6

Resolution
metadata mismatch
arxiv_id, observed 2026-05-12T02:26:15.709589Z

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=2026-05-12T02:24:58.402568Z digest=sha256:42e6a9b0777ffd07373dee58913d0cc19008d21645273e149cb4cc6fbc417c47

Observation 78908188-ad20-45bf-afeb-1b2dd16baaf9 · inbound

Doubly Robust Proxy Causal Learning with Neural Mean Embeddings cites this paper.

Doubly Robust Proxy Causal Learning with Neural Mean Embeddings SidechainNet: An All-Atom Protein Structure Dataset for Machine Learning

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-05-12T04:16:20.775179Z

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=2026-05-12T03:58:08.488042Z digest=sha256:6f18f3bd00d67462d03383064846d739b0d7dd62a3fb8d0d72fbf4d8b8b782cc

Observation f52b5b36-5554-4efd-92c2-88239cdb35a7 · inbound

CausalGuard: Conformal Inference under Graph Uncertainty cites this paper.

CausalGuard: Conformal Inference under Graph Uncertainty SidechainNet: An All-Atom Protein Structure Dataset for Machine Learning

Reference 26

Resolution
verified exact
arxiv_id, observed 2026-05-22T07:54:43.017009Z

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=2026-05-22T07:51:41.874143Z digest=sha256:3e6bd2a3a87813e938e59300a4adc67affc65eb295bf350471c2891c76faa188

Observation ac8f4e53-2903-4364-b0e1-d1ba10b0934a · inbound

ShrinkageTrees: An R Package for Bayesian Tree Ensembles for Survival Analysis and Causal Inference cites this paper.

ShrinkageTrees: An R Package for Bayesian Tree Ensembles for Survival Analysis and Causal Inference SidechainNet: An All-Atom Protein Structure Dataset for Machine Learning

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-06-27T08:40:46.086634Z

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=2026-06-27T08:36:34.831557Z digest=sha256:d25dfe4520a6a8494dfe02ebf19a3d57bcfb6e71619d030b137dc4f2c6318626

Observation 5ba4ebb7-05d8-4277-83fe-5f6cd009bc59 · inbound

A Guide to Estimating Conditional Average Treatment Effects in Competing Risks Settings cites this paper.

A Guide to Estimating Conditional Average Treatment Effects in Competing Risks Settings SidechainNet: An All-Atom Protein Structure Dataset for Machine Learning

Reference 67

Resolution
verified exact
arxiv_id, observed 2026-06-27T14:40:58.905265Z

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=2026-06-27T14:32:13.882467Z digest=sha256:14c124b89baabc96e6cd6fe12ad482517f9648316f91c6a310af55d7c717cb2d