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Paper Citation Record · LEDGER

DoTime: A Synthetic Benchmark Generator for Interventional and Counterfactual Time Series

As of 9 August 2026, this Paper Citation Record lists 27 of 27 outbound references and 0 inbound Pith citation observations for arXiv:2607.27263.

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

pith.paper-citation-record.v1
2607.27263 v1

Coverage vector

measured 27 of 27 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T13:16:13.191512Z

measured 27 of 27 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

27 of 27 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved26
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 5b2cf2e3-409b-472d-b532-fd142f454edb · outbound

This paper cites an unresolved cited work.

DoTime: A Synthetic Benchmark Generator for Interventional and Counterfactual Time Series Unresolved cited work

Reference 1

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no resolver link, observed 2026-08-01T13:16:10.378033Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T13:16:10.378033Z digest=sha256:839d05ebd0150ead504f59e673016e922a694c71aef836bba8e95a664903ab7f

Observation 44b19ffd-aa7d-4afc-bb92-dc0581d205ce · outbound

This paper cites Chronos-2: From Univariate to Universal Forecasting.

DoTime: A Synthetic Benchmark Generator for Interventional and Counterfactual Time Series Chronos-2: From Univariate to Universal Forecasting

Reference 2

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no resolver link, observed 2026-08-01T13:16:10.494065Z

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source=pdf_text observed=2026-08-01T13:16:10.494065Z digest=sha256:5958c082d97ff441c53bd0e6cae4aa031661318cd56258ac8e23ed6e9ac07830

Observation d027bf4b-501a-40c8-9de3-e67403b8099e · outbound

This paper cites Causal Graphs, Markov Properties and Do-calculus for Stochastic Differential Equations.

DoTime: A Synthetic Benchmark Generator for Interventional and Counterfactual Time Series Causal Graphs, Markov Properties and Do-calculus for Stochastic Differential Equations

Reference 3

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no resolver link, observed 2026-08-01T13:16:10.611809Z

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source=pdf_text observed=2026-08-01T13:16:10.611809Z digest=sha256:336bb6e85099673c34b97263f89354a0ce602437cd779883324d9a0e17ff2d1b

Observation e064668f-736d-4325-a29a-994c9f443b3b · outbound

This paper cites an unresolved cited work.

DoTime: A Synthetic Benchmark Generator for Interventional and Counterfactual Time Series Unresolved cited work

Reference 4

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malformed identifier
no resolver link, observed 2026-08-01T13:16:10.790236Z

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source=pdf_text observed=2026-08-01T13:16:10.790236Z digest=sha256:c41bb1a3d853e205e6d712ff52c7e5752a4f2f772af0b5c37bc2fd2f109c70dc

Observation 81a4eac3-f29d-4f93-8aaa-9cc8737f1c09 · outbound

This paper cites an unresolved cited work.

DoTime: A Synthetic Benchmark Generator for Interventional and Counterfactual Time Series Unresolved cited work

Reference 5

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no resolver link, observed 2026-08-01T13:16:10.943129Z

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source=pdf_text observed=2026-08-01T13:16:10.943129Z digest=sha256:eedf6a602f5bdbc8da1b0ee4f9bf016ad043b1587023a2436a90b2b260119652

Observation 69f288a5-8f18-429d-a089-f567e52b0e98 · outbound

This paper cites an unresolved cited work.

DoTime: A Synthetic Benchmark Generator for Interventional and Counterfactual Time Series Unresolved cited work

Reference 6

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no resolver link, observed 2026-08-01T13:16:11.087477Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T13:16:11.087477Z digest=sha256:a11bf7e8634f69d790a21b822e28c4c3aab2f6cf0d44691534d8249fc668f671

Observation 0defbccf-82c0-43ea-8dcd-231ecedca7d7 · outbound

This paper cites The Causal Chambers: Real Physical Systems as a Testbed for AI Methodology.

DoTime: A Synthetic Benchmark Generator for Interventional and Counterfactual Time Series The Causal Chambers: Real Physical Systems as a Testbed for AI Methodology

Reference 7

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source=pdf_text observed=2026-08-01T13:16:11.266632Z digest=sha256:d69674f214f4ffe6cd528b892179dfd7de242cb6fb4e0db9832b3034b16ff1f2

Observation 76988030-52b2-4cdd-8206-26a41d982353 · outbound

This paper cites an unresolved cited work.

DoTime: A Synthetic Benchmark Generator for Interventional and Counterfactual Time Series Unresolved cited work

Reference 8

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no resolver link, observed 2026-08-01T13:16:11.421485Z

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source=pdf_text observed=2026-08-01T13:16:11.421485Z digest=sha256:0e21b94a03aba744543a45dd3476265509c5f7e3c63f13cd3d8961dd7edd02c8

Observation 8d055dcc-449e-433c-8988-34bed907f9c2 · outbound

This paper cites an unresolved cited work.

DoTime: A Synthetic Benchmark Generator for Interventional and Counterfactual Time Series Unresolved cited work

Reference 9

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no resolver link, observed 2026-08-01T13:16:11.573326Z

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source=pdf_text observed=2026-08-01T13:16:11.573326Z digest=sha256:84658f5d5870fd4ee01bfdcafd346b6a99e08494a4ac49e000bf41d4bdf58637

Observation e4fb5666-be2e-4644-8c6f-da05877a9768 · outbound

This paper cites TabPFN-3: Technical Report.

DoTime: A Synthetic Benchmark Generator for Interventional and Counterfactual Time Series TabPFN-3: Technical Report

Reference 10

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no resolver link, observed 2026-08-01T13:16:11.749233Z

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source=pdf_text observed=2026-08-01T13:16:11.749233Z digest=sha256:6f00b28a8394d6fe673c4e4cc2e9d386565279d1f94cc48cf7feaa10009f41bf

Observation 787c63ce-7a5d-45c8-bc82-c1cfca6e43a5 · outbound

This paper cites Atlantic Causal Inference Conference (ACIC) Data Analysis Challenge 2017.

DoTime: A Synthetic Benchmark Generator for Interventional and Counterfactual Time Series Atlantic Causal Inference Conference (ACIC) Data Analysis Challenge 2017

Reference 11

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Observation bc2edb2d-1bc5-4beb-b423-fde9d53648f2 · outbound

This paper cites an unresolved cited work.

DoTime: A Synthetic Benchmark Generator for Interventional and Counterfactual Time Series Unresolved cited work

Reference 12

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no resolver link, observed 2026-08-01T13:16:11.958820Z

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source=pdf_text observed=2026-08-01T13:16:11.958820Z digest=sha256:652610b30c8657b5c278a4225001fffd31504eabb4cd0db963b9b9fa16d7e468

Observation fc90a75d-ac8d-47bf-9443-0cd261b67d6b · outbound

This paper cites an unresolved cited work.

DoTime: A Synthetic Benchmark Generator for Interventional and Counterfactual Time Series Unresolved cited work

Reference 13

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no resolver link, observed 2026-08-01T13:16:12.055024Z

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source=pdf_text observed=2026-08-01T13:16:12.055024Z digest=sha256:6d7e1a5ae485f3bae962a61e79ac81fef7c85339b8019216f7954167f1fb83ef

Observation bf433eb6-c95f-41ba-8c41-b1f80675c0bc · outbound

This paper cites an unresolved cited work.

DoTime: A Synthetic Benchmark Generator for Interventional and Counterfactual Time Series Unresolved cited work

Reference 14

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no resolver link, observed 2026-08-01T13:16:12.123477Z

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source=pdf_text observed=2026-08-01T13:16:12.123477Z digest=sha256:73df7993c9fb5da9cf0fd3e260bf746ff60752d7d10396ec090477489bb5b938

Observation 670263d4-feb7-44e3-a411-df5b238a1aae · outbound

This paper cites Kloeden and Eckhard Platen.

DoTime: A Synthetic Benchmark Generator for Interventional and Counterfactual Time Series Kloeden and Eckhard Platen

Reference 15

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source=pdf_text observed=2026-08-01T13:16:12.312023Z digest=sha256:9ba9f2f2e83836e4af54232db96483e09206e14b2b92b545c7ab7eb9bb639226

Observation 56a1fad5-c564-4e55-a53a-284a89f199df · outbound

This paper cites an unresolved cited work.

DoTime: A Synthetic Benchmark Generator for Interventional and Counterfactual Time Series Unresolved cited work

Reference 16

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no resolver link, observed 2026-08-01T13:16:12.448319Z

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source=pdf_text observed=2026-08-01T13:16:12.448319Z digest=sha256:1a917f1afc77484e54fca6917409311275579eaa41b6bef7a5c0748abe2b4bdb

Observation 518c9a72-2e35-4549-bf19-37eadae84275 · outbound

This paper cites an unresolved cited work.

DoTime: A Synthetic Benchmark Generator for Interventional and Counterfactual Time Series Unresolved cited work

Reference 17

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no resolver link, observed 2026-08-01T13:16:12.522894Z

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source=pdf_text observed=2026-08-01T13:16:12.522894Z digest=sha256:ca00948c6a04aff6ba4ed39d4503e18e9b166e502ad1f9732737851b341cea6a

Observation 8d3b95db-734c-4bb8-a6fb-e5eb08ad7b14 · outbound

This paper cites an unresolved cited work.

DoTime: A Synthetic Benchmark Generator for Interventional and Counterfactual Time Series Unresolved cited work

Reference 18

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no resolver link, observed 2026-08-01T13:16:12.593453Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T13:16:12.593453Z digest=sha256:d4f306e69e299f9c9263b4549078cb8a8372db8ec2432177d8401edd24d55587

Observation 0a808a99-8da4-4999-b72a-8fef66fbb2be · outbound

This paper cites 2009.Causality: Models, Reasoning, and Inference(2 ed.).

DoTime: A Synthetic Benchmark Generator for Interventional and Counterfactual Time Series 2009.Causality: Models, Reasoning, and Inference(2 ed.)

Reference 19

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Observation 88818c44-78aa-4aeb-a1a8-adac4d8a83c5 · outbound

This paper cites an unresolved cited work.

DoTime: A Synthetic Benchmark Generator for Interventional and Counterfactual Time Series Unresolved cited work

Reference 20

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no resolver link, observed 2026-08-01T13:16:12.745501Z

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source=pdf_text observed=2026-08-01T13:16:12.745501Z digest=sha256:fc1cf98543559ab4d61855be8a000c8571fb8791a079dc435d59311594354d36

Observation c4283c36-a85c-4ed6-a181-b812d4ec7f6d · outbound

This paper cites 2026.CausalPy: Causal inference for quasi-experiments in Python.

DoTime: A Synthetic Benchmark Generator for Interventional and Counterfactual Time Series 2026.CausalPy: Causal inference for quasi-experiments in Python

Reference 21

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source=pdf_text observed=2026-08-01T13:16:12.837591Z digest=sha256:588c5f8fff90f4d5ebc5e5288ea46e92d178f14b244ee4c813d5938cd78f4352

Observation dcc714ae-cac3-4d6a-af19-1973a46aed53 · outbound

This paper cites an unresolved cited work.

DoTime: A Synthetic Benchmark Generator for Interventional and Counterfactual Time Series Unresolved cited work

Reference 22

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no resolver link, observed 2026-08-01T13:16:12.893972Z

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source=pdf_text observed=2026-08-01T13:16:12.893972Z digest=sha256:e3da70b4009defc0ecec12f68e4f1733c49b7be3755bb1e6154eb5c22d2c4d7f

Observation 6da29802-12e3-4d3d-ac03-88134cfb2ca8 · outbound

This paper cites an unresolved cited work.

DoTime: A Synthetic Benchmark Generator for Interventional and Counterfactual Time Series Unresolved cited work

Reference 23

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no resolver link, observed 2026-08-01T13:16:12.955609Z

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Observation 17c710da-d0e5-4b2c-be39-7ff711aad02e · outbound

This paper cites an unresolved cited work.

DoTime: A Synthetic Benchmark Generator for Interventional and Counterfactual Time Series Unresolved cited work

Reference 24

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Observation 31d699b7-0c2b-4ab9-aa3d-bac7603562af · outbound

This paper cites an unresolved cited work.

DoTime: A Synthetic Benchmark Generator for Interventional and Counterfactual Time Series Unresolved cited work

Reference 25

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source=pdf_text observed=2026-08-01T13:16:13.128969Z digest=sha256:517abf04a8b899ca1b88cedbe5982f8de2d369b8af2f532ff73dea2e50fd2678

Observation 37a3636b-39e3-4d40-be89-b3087dc511f7 · outbound

This paper cites an unresolved cited work.

DoTime: A Synthetic Benchmark Generator for Interventional and Counterfactual Time Series Unresolved cited work

Reference 26

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source=pdf_text observed=2026-08-01T13:16:13.191512Z digest=sha256:31f408349e5790ecb37a1f9d8739a3a1d0dde010b5e085090ad0fe7492c1c110

Observation 73e1999e-2fd6-4bc8-93c4-9d729a5061e3 · outbound

This paper cites InInternational Conference on Learning Representations (ICLR).

DoTime: A Synthetic Benchmark Generator for Interventional and Counterfactual Time Series InInternational Conference on Learning Representations (ICLR)

Reference 2023

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Pith citing papers

No inbound Pith citation observations are available.