Paper Citation Record · LEDGER

MOCHA: Discovering Multi-Order Dynamic Causality in Temporal Point Processes

As of 24 August 2026, this Paper Citation Record lists 42 of 42 outbound references and 0 inbound Pith citation observations for arXiv:2508.18873.

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

pith.paper-citation-record.v1
2508.18873 v1

Coverage vector

measured 42 of 42 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T16:11:08.750030Z

measured 42 of 42 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+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

42 of 42 outbound references displayed

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verified fuzzy40
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 9b9b7bb1-4d0f-4261-85e6-59c0e10aca6b · outbound

This paper cites Reliable decision support using counterfactual models,.

MOCHA: Discovering Multi-Order Dynamic Causality in Temporal Point Processes Reliable decision support using counterfactual models,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:11:09.644509Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation c5f6cf8b-5c0c-4511-a764-eea6647b1ecb · outbound

This paper cites Hawkes processes in finance,.

MOCHA: Discovering Multi-Order Dynamic Causality in Temporal Point Processes Hawkes processes in finance,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:11:09.623341Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 4af20ef6-9f80-42a3-b7b4-6decf1e646a7 · outbound

This paper cites Causal embeddings for recommendation,.

MOCHA: Discovering Multi-Order Dynamic Causality in Temporal Point Processes Causal embeddings for recommendation,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:11:09.603352Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 9f327cca-b24f-462d-ade6-0fbaf14dddc5 · outbound

This paper cites Spectra of some self-exciting and mutually exciting point processes,.

MOCHA: Discovering Multi-Order Dynamic Causality in Temporal Point Processes Spectra of some self-exciting and mutually exciting point processes,

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-05T16:11:08.448925Z

Source-reported events for the cited work

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Observation b84d21a3-d71e-40c1-b314-c731deb267c4 · outbound

This paper cites Transformer hawkes process,.

MOCHA: Discovering Multi-Order Dynamic Causality in Temporal Point Processes Transformer hawkes process,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:11:09.573263Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation e050c281-b4cf-4e16-9a33-617d7748e4c5 · outbound

This paper cites Neural jump-diffusion temporal point processes,.

MOCHA: Discovering Multi-Order Dynamic Causality in Temporal Point Processes Neural jump-diffusion temporal point processes,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:11:09.554651Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 8b8922d2-ed92-4201-8361-ec5c24ba05d3 · outbound

This paper cites Recurrent marked temporal point processes: Embedding event history to vector,.

MOCHA: Discovering Multi-Order Dynamic Causality in Temporal Point Processes Recurrent marked temporal point processes: Embedding event history to vector,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:11:09.529880Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation ef190b37-7072-47e2-9603-254c2a144c9c · outbound

This paper cites The neural hawkes process: A neurally self-modulating multivariate point process,.

MOCHA: Discovering Multi-Order Dynamic Causality in Temporal Point Processes The neural hawkes process: A neurally self-modulating multivariate point process,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:11:09.508084Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 7f4daa14-609b-4af6-a758-ac5cb416abe5 · outbound

This paper cites Self-attentive hawkes process,.

MOCHA: Discovering Multi-Order Dynamic Causality in Temporal Point Processes Self-attentive hawkes process,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:11:09.487661Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 5fc522f5-7ac4-4eee-b8ff-26d9bd72b160 · outbound

This paper cites Cause: Learning granger causality from event sequences using attribution methods,.

MOCHA: Discovering Multi-Order Dynamic Causality in Temporal Point Processes Cause: Learning granger causality from event sequences using attribution methods,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:11:09.469366Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation ae6fc52b-08ea-452f-a2fb-fc4207b1d5c6 · outbound

This paper cites Dynamic representation learning with temporal point processes for higher-order interaction forecasting,.

MOCHA: Discovering Multi-Order Dynamic Causality in Temporal Point Processes Dynamic representation learning with temporal point processes for higher-order interaction forecasting,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:11:09.447597Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 96843e0c-d0f7-4902-9382-d9a47bea0869 · outbound

This paper cites Hierarchical contrastive learning for temporal point processes,.

MOCHA: Discovering Multi-Order Dynamic Causality in Temporal Point Processes Hierarchical contrastive learning for temporal point processes,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:11:09.427434Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 15ced8aa-5fb9-4d08-8157-5f8aa1c8b2de · outbound

This paper cites Interpretable transformer hawkes processes: Unveiling complex interactions in social networks,.

MOCHA: Discovering Multi-Order Dynamic Causality in Temporal Point Processes Interpretable transformer hawkes processes: Unveiling complex interactions in social networks,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:11:09.412098Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 8007c03b-b8db-447b-9a97-d11507374615 · outbound

This paper cites Multiple regression analysis of a poisson process,.

MOCHA: Discovering Multi-Order Dynamic Causality in Temporal Point Processes Multiple regression analysis of a poisson process,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:11:09.394895Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 7e651c94-fb02-4ef9-89e8-aaf205b7e195 · outbound

This paper cites A self-correcting point process,.

MOCHA: Discovering Multi-Order Dynamic Causality in Temporal Point Processes A self-correcting point process,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:11:09.377478Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 043b8d0b-417e-4fb2-9dfe-eafb04602825 · outbound

This paper cites Transformer embeddings of irregularly spaced events and their participants,.

MOCHA: Discovering Multi-Order Dynamic Causality in Temporal Point Processes Transformer embeddings of irregularly spaced events and their participants,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:11:09.355866Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 9bed65fe-966b-45ef-92b6-cd9eb2532819 · outbound

This paper cites Investigating causal relations by econometric models and cross-spectral methods,.

MOCHA: Discovering Multi-Order Dynamic Causality in Temporal Point Processes Investigating causal relations by econometric models and cross-spectral methods,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:11:09.336083Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation fa616ad6-58dd-4f6a-a41b-40c74fbfbe40 · outbound

This paper cites Learning granger causality for hawkes processes,.

MOCHA: Discovering Multi-Order Dynamic Causality in Temporal Point Processes Learning granger causality for hawkes processes,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:11:09.316607Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation ff314945-7a89-48f7-8879-e9f6fabd5188 · outbound

This paper cites Neural temporal point processes for forecasting directional relations in evolving hypergraphs,.

MOCHA: Discovering Multi-Order Dynamic Causality in Temporal Point Processes Neural temporal point processes for forecasting directional relations in evolving hypergraphs,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:11:09.296645Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 04bfa42b-9fb9-490c-a5ae-f326b6f64045 · outbound

This paper cites The central role of the propensity score in observational studies for causal effects,.

MOCHA: Discovering Multi-Order Dynamic Causality in Temporal Point Processes The central role of the propensity score in observational studies for causal effects,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:11:09.278920Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation c1745ba6-9aa6-4ee4-8ffd-750b35478bf5 · outbound

This paper cites Causal inference for event pairs in multivariate point processes,.

MOCHA: Discovering Multi-Order Dynamic Causality in Temporal Point Processes Causal inference for event pairs in multivariate point processes,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:11:09.243789Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 3c4f3dec-c43b-4300-a4e8-5366408e293e · outbound

This paper cites Counterfactual temporal point processes,.

MOCHA: Discovering Multi-Order Dynamic Causality in Temporal Point Processes Counterfactual temporal point processes,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:11:09.226363Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation f4ccbaae-aea6-45e1-a762-b033951999f2 · outbound

This paper cites Counterfactual neural temporal point process for estimating causal influence of misinformation on social media,.

MOCHA: Discovering Multi-Order Dynamic Causality in Temporal Point Processes Counterfactual neural temporal point process for estimating causal influence of misinformation on social media,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:11:09.210719Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation c27b118f-fe92-4c1a-bcd1-2123d3c35f4d · outbound

This paper cites Spirtes, C.

MOCHA: Discovering Multi-Order Dynamic Causality in Temporal Point Processes Spirtes, C

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:11:09.192821Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation ee98d727-a953-466b-8e4a-3425754387ab · outbound

This paper cites A variational autoencoder for neural temporal point processes with dynamic latent graphs,.

MOCHA: Discovering Multi-Order Dynamic Causality in Temporal Point Processes A variational autoencoder for neural temporal point processes with dynamic latent graphs,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:11:09.176334Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 8d71ff2f-f9ef-4e92-a6cd-b5f3c6b5475a · outbound

This paper cites Dags with no tears: Continuous optimization for structure learning,.

MOCHA: Discovering Multi-Order Dynamic Causality in Temporal Point Processes Dags with no tears: Continuous optimization for structure learning,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:11:09.157212Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 177bbbc9-148a-4caa-b3e1-bf561d2d915f · outbound

This paper cites Dag-gnn: Dag structure learning with graph neural networks,.

MOCHA: Discovering Multi-Order Dynamic Causality in Temporal Point Processes Dag-gnn: Dag structure learning with graph neural networks,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:11:09.138031Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 8a87fc86-438b-4931-b545-8423ea6157a0 · outbound

This paper cites Causalnet: unveiling causal structures on event sequences by topology-informed causal attention,.

MOCHA: Discovering Multi-Order Dynamic Causality in Temporal Point Processes Causalnet: unveiling causal structures on event sequences by topology-informed causal attention,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:11:09.120596Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 43bf4c35-4055-40ea-bc15-de69045c04f1 · outbound

This paper cites Causal discovery in hawkes processes by minimum description length,.

MOCHA: Discovering Multi-Order Dynamic Causality in Temporal Point Processes Causal discovery in hawkes processes by minimum description length,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:11:09.101179Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 7f7a6111-788c-4456-9c3c-617d7f89f296 · outbound

This paper cites Structural hawkes processes for learning causal structure from discrete-time event sequences,.

MOCHA: Discovering Multi-Order Dynamic Causality in Temporal Point Processes Structural hawkes processes for learning causal structure from discrete-time event sequences,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:11:09.079383Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 5516edae-193e-491a-a456-88219c4749f4 · outbound

This paper cites Pearl, Causality: Models, Reasoning, and Inference , 2nd ed.

MOCHA: Discovering Multi-Order Dynamic Causality in Temporal Point Processes Pearl, Causality: Models, Reasoning, and Inference , 2nd ed

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:11:09.063087Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 09bdb419-b5de-4ae5-bfa9-9767987308e7 · outbound

This paper cites Graph attention networks,.

MOCHA: Discovering Multi-Order Dynamic Causality in Temporal Point Processes Graph attention networks,

Reference 32

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Source-reported events for the cited work

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Observation e967e65a-6e7b-44dc-a207-d106811a709d · outbound

This paper cites Learning triggering kernels for multi-dimensional hawkes processes,.

MOCHA: Discovering Multi-Order Dynamic Causality in Temporal Point Processes Learning triggering kernels for multi-dimensional hawkes processes,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:11:09.026823Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation ef100857-7134-4e4e-8b67-ee1e3bbd70dc · outbound

This paper cites Hypro: A hybridly normalized probabilistic model for long-horizon prediction of event sequences,.

MOCHA: Discovering Multi-Order Dynamic Causality in Temporal Point Processes Hypro: A hybridly normalized probabilistic model for long-horizon prediction of event sequences,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:11:09.005162Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 25dfbf30-df8c-40c4-8f0b-acfe21a37b6e · outbound

This paper cites Snap: A general-purpose network analysis and graph-mining library,.

MOCHA: Discovering Multi-Order Dynamic Causality in Temporal Point Processes Snap: A general-purpose network analysis and graph-mining library,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:11:08.984450Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation d98c2b44-af93-4c0a-bb48-21bd7683b13f · outbound

This paper cites The mimic code repository: Enabling reproducibility in critical care research,.

MOCHA: Discovering Multi-Order Dynamic Causality in Temporal Point Processes The mimic code repository: Enabling reproducibility in critical care research,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:11:08.965201Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation ab49846e-29ad-4244-b352-0cfbfbf4e93f · outbound

This paper cites Easytpp: Towards open benchmarking temporal point processes,.

MOCHA: Discovering Multi-Order Dynamic Causality in Temporal Point Processes Easytpp: Towards open benchmarking temporal point processes,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:11:08.944480Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation fe07801c-b0f2-4762-8da9-656e70fdde08 · outbound

This paper cites Kdigo clinical practice guideline for acute kidney injury,.

MOCHA: Discovering Multi-Order Dynamic Causality in Temporal Point Processes Kdigo clinical practice guideline for acute kidney injury,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:11:08.924890Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation ca8c338d-ee57-4505-aa8f-98a55c30c61b · outbound

This paper cites Predialysis serum lactate levels could predict dialysis withdrawal in type 1 cardiorenal syndrome patients,.

MOCHA: Discovering Multi-Order Dynamic Causality in Temporal Point Processes Predialysis serum lactate levels could predict dialysis withdrawal in type 1 cardiorenal syndrome patients,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:11:08.904102Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 7b83936a-439e-4473-ba7b-96bc43776a16 · outbound

This paper cites Lactate level and lactate clearance for acute kidney injury prediction among patients admitted with st-segment elevation myocardial infarction: a retrospective cohort study,.

MOCHA: Discovering Multi-Order Dynamic Causality in Temporal Point Processes Lactate level and lactate clearance for acute kidney injury prediction among patients admitted with st-segment elevation myocardial infarction: a retrospective cohort study,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:11:08.884987Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 5f60966f-9776-44b5-8b5f-7e85e78eefe8 · outbound

This paper cites Prognostic value of serum lactate level for mortality in patients with acute kidney injury,.

MOCHA: Discovering Multi-Order Dynamic Causality in Temporal Point Processes Prognostic value of serum lactate level for mortality in patients with acute kidney injury,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:11:08.861917Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 151fbeec-3b63-4b59-a77f-3b39eca65f10 · outbound

This paper cites Lactic acidosis,.

MOCHA: Discovering Multi-Order Dynamic Causality in Temporal Point Processes Lactic acidosis,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:11:08.825249Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Pith citing papers

No inbound Pith citation observations are available.