Paper Citation Record · LEDGER

LiFTER: A Grounded Neuro-Symbolic Microscope for Continuous-Time Dynamic Graph Forecasting

As of 17 August 2026, this Paper Citation Record lists 17 of 17 outbound references and 0 inbound Pith citation observations for arXiv:2608.06765.

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

pith.paper-citation-record.v1
2608.06765 v1

Coverage vector

measured 17 of 17 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T14:36:46.433104Z

measured 17 of 17 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+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

17 of 17 outbound references displayed

verified exact2
verified fuzzy15
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 900ca58b-8cb1-4c6b-aa58-c388b7b94ae8 · outbound

This paper cites Temporal graph networks for deep learning on dynamic graphs,.

LiFTER: A Grounded Neuro-Symbolic Microscope for Continuous-Time Dynamic Graph Forecasting Temporal graph networks for deep learning on dynamic graphs,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:36:46.581132Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 43440c8b-299e-4fe6-9ac9-85b25476c117 · outbound

This paper cites Induc- tive representation learning on temporal graphs,.

LiFTER: A Grounded Neuro-Symbolic Microscope for Continuous-Time Dynamic Graph Forecasting Induc- tive representation learning on temporal graphs,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:36:46.573070Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 81f8dc9b-41ec-4507-b1a9-e0bd07b68f1a · outbound

This paper cites Do we really need complicated model architectures for temporal networks?.

LiFTER: A Grounded Neuro-Symbolic Microscope for Continuous-Time Dynamic Graph Forecasting Do we really need complicated model architectures for temporal networks?

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:36:46.565873Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 07038146-e6ca-4aa0-883c-e8406c305503 · outbound

This paper cites DyGFormer: A transformer- based architecture for dynamic graph representation learning,.

LiFTER: A Grounded Neuro-Symbolic Microscope for Continuous-Time Dynamic Graph Forecasting DyGFormer: A transformer- based architecture for dynamic graph representation learning,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:36:46.558300Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation fffbb1bc-8164-4e65-9b04-e883d0154c5c · outbound

This paper cites Ex- plaining temporal graph models through an explorer-navigator framework,.

LiFTER: A Grounded Neuro-Symbolic Microscope for Continuous-Time Dynamic Graph Forecasting Ex- plaining temporal graph models through an explorer-navigator framework,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:36:46.551112Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation b0d9c980-40b1-4793-8efb-13c55dc256ea · outbound

This paper cites TempME: Towards the explainability of temporal graph neural networks via motif discovery,.

LiFTER: A Grounded Neuro-Symbolic Microscope for Continuous-Time Dynamic Graph Forecasting TempME: Towards the explainability of temporal graph neural networks via motif discovery,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:36:46.541705Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation b7ebb57f-8b6b-48d2-92d5-4b5b4be0c488 · outbound

This paper cites Self-explainable temporal graph networks based on graph information bottleneck,.

LiFTER: A Grounded Neuro-Symbolic Microscope for Continuous-Time Dynamic Graph Forecasting Self-explainable temporal graph networks based on graph information bottleneck,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:36:46.533541Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation e2f861a6-7657-4669-b2fb-4fd683c8048a · outbound

This paper cites Invariant Graph Representations for Continuous-Time Dynamic Graphs Under Distribution Shifts.

LiFTER: A Grounded Neuro-Symbolic Microscope for Continuous-Time Dynamic Graph Forecasting Invariant Graph Representations for Continuous-Time Dynamic Graphs Under Distribution Shifts

Reference 8

Resolution: verified exact; local_arxiv, observed 2026-08-15T14:36:46.467349Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 64041c8e-da4e-4285-ab9c-1198e22fd5bb · outbound

This paper cites Differentiable learning of logical rules for knowledge base reasoning,.

LiFTER: A Grounded Neuro-Symbolic Microscope for Continuous-Time Dynamic Graph Forecasting Differentiable learning of logical rules for knowledge base reasoning,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:36:46.525773Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation da29daf8-0462-4c8c-86bd-5a2585e52870 · outbound

This paper cites TLogic: Temporal logical rules for explainable link forecasting on tempo- ral knowledge graphs,.

LiFTER: A Grounded Neuro-Symbolic Microscope for Continuous-Time Dynamic Graph Forecasting TLogic: Temporal logical rules for explainable link forecasting on tempo- ral knowledge graphs,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:36:46.519115Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation c0adf454-3b7e-47bb-a45e-ab0bbb6666d2 · outbound

This paper cites Temporal induc- tive logic reasoning,.

LiFTER: A Grounded Neuro-Symbolic Microscope for Continuous-Time Dynamic Graph Forecasting Temporal induc- tive logic reasoning,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:36:46.512428Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 7e303938-16da-4e67-9776-350e6ead41ec · outbound

This paper cites Towards better evaluation for dynamic link prediction,.

LiFTER: A Grounded Neuro-Symbolic Microscope for Continuous-Time Dynamic Graph Forecasting Towards better evaluation for dynamic link prediction,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:36:46.505535Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 78acac01-4784-478c-89bb-ab7af82aba03 · outbound

This paper cites On the power of heuristics in temporal graphs,.

LiFTER: A Grounded Neuro-Symbolic Microscope for Continuous-Time Dynamic Graph Forecasting On the power of heuristics in temporal graphs,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:36:46.498420Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 25939fe1-195c-4a1a-b2c3-fa18e8a44b12 · outbound

This paper cites TGB-Seq benchmark: Challenging temporal GNNs with complex sequential dynamics,.

LiFTER: A Grounded Neuro-Symbolic Microscope for Continuous-Time Dynamic Graph Forecasting TGB-Seq benchmark: Challenging temporal GNNs with complex sequential dynamics,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:36:46.490025Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 0b3e553f-14c9-46d2-9030-8a4d6669b71d · outbound

This paper cites Future Link Prediction Without Memory or Aggregation.

LiFTER: A Grounded Neuro-Symbolic Microscope for Continuous-Time Dynamic Graph Forecasting Future Link Prediction Without Memory or Aggregation

Reference 15

Resolution: verified exact; local_arxiv, observed 2026-08-15T14:36:46.456709Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 1a5b041b-4d39-44f7-823f-03dad495f961 · outbound

This paper cites HOT: Higher-order dynamic graph representation learning with efficient transformers,.

LiFTER: A Grounded Neuro-Symbolic Microscope for Continuous-Time Dynamic Graph Forecasting HOT: Higher-order dynamic graph representation learning with efficient transformers,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:36:46.482043Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 40c9e26a-6b44-43be-a8ec-f82a1e4dce67 · outbound

This paper cites Inductive rep- resentation learning in temporal networks via causal anonymous walks,.

LiFTER: A Grounded Neuro-Symbolic Microscope for Continuous-Time Dynamic Graph Forecasting Inductive rep- resentation learning in temporal networks via causal anonymous walks,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:36:46.474765Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Pith citing papers

No inbound Pith citation observations are available.