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Paper Citation Record · LEDGER

diffIRM: A Diffusion-Augmented Invariant Risk Minimization Framework for Spatiotemporal Prediction over Graphs

As of 12 August 2026, this Paper Citation Record lists 23 of 23 outbound references and 0 inbound Pith citation observations for arXiv:2501.00305.

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

pith.paper-citation-record.v1
2501.00305 v1

Coverage vector

measured 23 of 23 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T22:58:26.125752Z

measured 23 of 23 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+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

23 of 23 outbound references displayed

  • verified exact0
  • verified fuzzy11
  • unresolved9
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch3

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 27d1929f-256e-4381-a3db-4fbac604698f · outbound

This paper cites Systematicgeneralisationwithgroupinvariantpredictions, in: International Conference on Learning Representations.

diffIRM: A Diffusion-Augmented Invariant Risk Minimization Framework for Spatiotemporal Prediction over Graphs Systematicgeneralisationwithgroupinvariantpredictions, in: International Conference on Learning Representations

Reference 1

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verified fuzzy
raw_fallback, observed 2026-08-10T22:58:26.558466Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T22:58:26.028229Z digest=sha256:25dc248d9010af15313179342e1956aff7b59f43a6b8b763a26a135a4ccc6734

Observation 9dc46fe7-a234-4e9e-831c-e0270840509f · outbound

This paper cites As the relation between𝑌 and causal features𝑋cau is invariant across environments, including causal features can better lower the loss function.

diffIRM: A Diffusion-Augmented Invariant Risk Minimization Framework for Spatiotemporal Prediction over Graphs As the relation between𝑌 and causal features𝑋cau is invariant across environments, including causal features can better lower the loss function

Reference 2

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verified fuzzy
raw_fallback, observed 2026-08-10T22:58:26.290227Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T22:58:26.125752Z digest=sha256:0739f3d1f9e52a24e757bcd9e9fc7139efc00f3066086061a0b97971540a72e9

Observation 000698d5-dafb-4ec3-acaf-3f04e57484c5 · outbound

This paper cites Accident Analysis & Prevention 122, 239–254.

diffIRM: A Diffusion-Augmented Invariant Risk Minimization Framework for Spatiotemporal Prediction over Graphs Accident Analysis & Prevention 122, 239–254

Reference 3

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verified fuzzy
raw_fallback, observed 2026-08-10T22:58:26.541721Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 81a67fa2-9ef7-45c1-98d2-45c2158da700 · outbound

This paper cites Attention is all you need.

diffIRM: A Diffusion-Augmented Invariant Risk Minimization Framework for Spatiotemporal Prediction over Graphs Attention is all you need

Reference 4

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verified fuzzy
raw_fallback, observed 2026-08-10T22:58:26.349836Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T22:58:26.081428Z digest=sha256:6e50f00860f32b05c33264623119931ecb66ef6da2b6e1cb6fd7d4ccdfa2f09a

Observation 53127d1e-bc41-4134-88b6-573220e406b9 · outbound

This paper cites Advancesinneuralinformationprocessingsystems33, 22092–22103.

diffIRM: A Diffusion-Augmented Invariant Risk Minimization Framework for Spatiotemporal Prediction over Graphs Advancesinneuralinformationprocessingsystems33, 22092–22103

Reference 6

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verified fuzzy
raw_fallback, observed 2026-08-10T22:58:26.385277Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T22:58:26.051868Z digest=sha256:7ee0cb013fc37faa81ec23789d3b36b827a4dd0f90fe2e711fe5255bdecbd685

Observation 794112c0-39be-4e60-8af1-7d0c16ef5f79 · outbound

This paper cites Transportation Science 55, 553–573.

diffIRM: A Diffusion-Augmented Invariant Risk Minimization Framework for Spatiotemporal Prediction over Graphs Transportation Science 55, 553–573

Reference 8

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raw_fallback, observed 2026-08-10T22:58:26.374475Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T22:58:26.060808Z digest=sha256:9be51c3392181856c7e15ff555beaf3ce912c45891d5830732ab1f0e4b6b1797

Observation 22b298bb-25c7-4965-ba2b-abcf2be26290 · outbound

This paper cites Distributionally Robust Semi-Supervised Learning Over Graphs.

diffIRM: A Diffusion-Augmented Invariant Risk Minimization Framework for Spatiotemporal Prediction over Graphs Distributionally Robust Semi-Supervised Learning Over Graphs

Reference 9

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metadata mismatch
local_arxiv, observed 2026-08-10T22:58:26.254089Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T22:58:26.064554Z digest=sha256:90230da4f230f9bbabc640b5e4b624e671c248df72aecf269df7dfa5f26172d7

Observation b1aef7cd-b625-495d-8d4a-71608236ccc8 · outbound

This paper cites Unleashing the Power of Graph Data Augmentation on Covariate Distribution Shift.

diffIRM: A Diffusion-Augmented Invariant Risk Minimization Framework for Spatiotemporal Prediction over Graphs Unleashing the Power of Graph Data Augmentation on Covariate Distribution Shift

Reference 11

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no resolver link, observed 2026-08-10T22:58:26.072745Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:58:26.072745Z digest=sha256:e2445df6d2763645c689c9a4e40f913c6ce4f68fa94f8892cb3acd88e7e77a90

Observation 94fb80aa-bb0f-4e61-aebc-1ff7dea64b30 · outbound

This paper cites Diffusion probabilistic modeling of protein backbones in 3D for the motif-scaffolding problem.

diffIRM: A Diffusion-Augmented Invariant Risk Minimization Framework for Spatiotemporal Prediction over Graphs Diffusion probabilistic modeling of protein backbones in 3D for the motif-scaffolding problem

Reference 12

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no resolver link, observed 2026-08-10T22:58:26.077067Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:58:26.077067Z digest=sha256:8bd3a5b63e90367af2faf8f1d201b4f0f7ef8ba1a752b4412f21eb2579f87600

Observation bc253e8c-85e3-4f20-8aff-bc8f7c392e6f · outbound

This paper cites Handling Distribution Shifts on Graphs: An Invariance Perspective.

diffIRM: A Diffusion-Augmented Invariant Risk Minimization Framework for Spatiotemporal Prediction over Graphs Handling Distribution Shifts on Graphs: An Invariance Perspective

Reference 14

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-10T22:58:26.085791Z digest=sha256:70b908c9879e65953e54211a60a828e9a8e6654c5397bb8e71b9b89f43bb4704

Observation e30b261e-79c3-4911-851e-a74cf79947cf · outbound

This paper cites 1907–1913.

diffIRM: A Diffusion-Augmented Invariant Risk Minimization Framework for Spatiotemporal Prediction over Graphs 1907–1913

Reference 15

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verified fuzzy
raw_fallback, observed 2026-08-10T22:58:26.337406Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T22:58:26.090862Z digest=sha256:2f61c400e7ac1c647dca5bb430f02160d745f648463e0122b3d9d1e3e0185566

Observation 634f06ba-4185-4231-a2db-2d7c1e8a00ed · outbound

This paper cites Deciphering Spatio-Temporal Graph Forecasting: A Causal Lens and Treatment.

diffIRM: A Diffusion-Augmented Invariant Risk Minimization Framework for Spatiotemporal Prediction over Graphs Deciphering Spatio-Temporal Graph Forecasting: A Causal Lens and Treatment

Reference 16

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local_arxiv, observed 2026-08-10T22:58:26.203402Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T22:58:26.095325Z digest=sha256:2f6139ec8b45c1f749344156ba501e0fef8089a22ad794bff3f61ef383cddd9c

Observation 43f2508f-cd28-442c-96f0-b93dcddb8da3 · outbound

This paper cites Learning Representations that Support Robust Transfer of Predictors.

diffIRM: A Diffusion-Augmented Invariant Risk Minimization Framework for Spatiotemporal Prediction over Graphs Learning Representations that Support Robust Transfer of Predictors

Reference 17

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source=pdf_text observed=2026-08-10T22:58:26.100562Z digest=sha256:22b2d9c890f93cc984dcd66d991aa4c9d3897e8344f6d452759569bd6a50e225

Observation b248d4a3-cb51-48e3-882d-90f7c579bd06 · outbound

This paper cites Transportation Research Part C: Emerging Technologies 107, 248–265.

diffIRM: A Diffusion-Augmented Invariant Risk Minimization Framework for Spatiotemporal Prediction over Graphs Transportation Research Part C: Emerging Technologies 107, 248–265

Reference 18

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verified fuzzy
raw_fallback, observed 2026-08-10T22:58:26.325414Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T22:58:26.104787Z digest=sha256:464de347ae0d637dda6f6c58d3e2fc789dccaa02557014631036b52cd70b872d

Observation 48605335-beb2-4365-a893-74f672b3d300 · outbound

This paper cites Finding Diverse and Predictable Subgraphs for Graph Domain Generalization.

diffIRM: A Diffusion-Augmented Invariant Risk Minimization Framework for Spatiotemporal Prediction over Graphs Finding Diverse and Predictable Subgraphs for Graph Domain Generalization

Reference 20

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metadata mismatch
local_arxiv, observed 2026-08-10T22:58:26.164658Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T22:58:26.113665Z digest=sha256:dde8b2bc9a717b7e9b26d8840ef4d82315309bb7e8f29c2fa89f7c1b8cabe66a

Observation 0253b4bc-4158-403d-be86-87721f2a7375 · outbound

This paper cites TransportationresearchpartC:emergingtechnologies105, 297–322.

diffIRM: A Diffusion-Augmented Invariant Risk Minimization Framework for Spatiotemporal Prediction over Graphs TransportationresearchpartC:emergingtechnologies105, 297–322

Reference 21

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verified fuzzy
raw_fallback, observed 2026-08-10T22:58:26.313555Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T22:58:26.117743Z digest=sha256:3097c2f071c88cf00da39cf38f418235bb9180a243e22e69244060124fc26b71

Observation aba82ff3-a627-4da7-83d1-f1a30a9d17ec · outbound

This paper cites Advances in Neural Information Processing Systems 35, 20257–20272.

diffIRM: A Diffusion-Augmented Invariant Risk Minimization Framework for Spatiotemporal Prediction over Graphs Advances in Neural Information Processing Systems 35, 20257–20272

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:58:26.302481Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T22:58:26.121811Z digest=sha256:5a8da781dd6c454350b9c300165c4168a4c20d6eed02932c9ef3ee22a3205f63

Observation 6d08fb47-1737-482a-8115-482cd63f1682 · outbound

This paper cites Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting.

diffIRM: A Diffusion-Augmented Invariant Risk Minimization Framework for Spatiotemporal Prediction over Graphs Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting

Reference 2017

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:58:26.108860Z digest=sha256:2eee07a5183d9f2944dda57b9d66b87222590b04f09c719c8316ecda5aeff90d

Observation 64c4c601-3baf-4d06-ba35-a042b40fa374 · outbound

This paper cites Invariant Risk Minimization.

diffIRM: A Diffusion-Augmented Invariant Risk Minimization Framework for Spatiotemporal Prediction over Graphs Invariant Risk Minimization

Reference 2019

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no resolver link, observed 2026-08-10T22:58:26.033084Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:58:26.033084Z digest=sha256:6f8d2c50bdbeb8d7e1731de0ac2c2b3f3d4fb85fe7cd62609bef5543c8d8eeda

Observation 4d9d4262-11f0-4588-b274-596f2f02e544 · outbound

This paper cites an unresolved cited work.

diffIRM: A Diffusion-Augmented Invariant Risk Minimization Framework for Spatiotemporal Prediction over Graphs Unresolved cited work

Reference 2020

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unresolved
raw_fallback, observed 2026-08-10T22:58:26.529218Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation c7bb146d-22ef-48a8-919a-14fe1ac75d1d · outbound

This paper cites IEEE Transactions on Intelligent Transportation Systems 23, 5704–5716.

diffIRM: A Diffusion-Augmented Invariant Risk Minimization Framework for Spatiotemporal Prediction over Graphs IEEE Transactions on Intelligent Transportation Systems 23, 5704–5716

Reference 2021

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verified fuzzy
raw_fallback, observed 2026-08-10T22:58:26.515533Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T22:58:26.047032Z digest=sha256:91d6fc1d40b72ff5a901c0bc08ab37b5da0ce2cd110e82689670f62c0dfa577a

Observation 43276d6f-6bfb-4a35-9f6c-35170ce206ea · outbound

This paper cites Out-Of-Distribution Generalization on Graphs: A Survey.

diffIRM: A Diffusion-Augmented Invariant Risk Minimization Framework for Spatiotemporal Prediction over Graphs Out-Of-Distribution Generalization on Graphs: A Survey

Reference 2022

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:58:26.056314Z digest=sha256:67dfc90cf3f24d39f408087d0d9fecb15bfc0b1205e6e071e17d6b1905ff961e

Observation 2aff40d6-741e-459d-adba-78722a714af6 · outbound

This paper cites an unresolved cited work.

diffIRM: A Diffusion-Augmented Invariant Risk Minimization Framework for Spatiotemporal Prediction over Graphs Unresolved cited work

Reference 2023

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raw_fallback, observed 2026-08-10T22:58:26.363390Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Pith citing papers

No inbound Pith citation observations are available.