Paper Citation Record · LEDGER

Cross-Modality Controlled Molecule Generation with Diffusion Language Model

As of 21 August 2026, this Paper Citation Record lists 28 of 28 outbound references and 0 inbound Pith citation observations for arXiv:2508.14748.

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

pith.paper-citation-record.v1
2508.14748 v1

Coverage vector

measured 28 of 28 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T18:23:06.988220Z

measured 28 of 28 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+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

28 of 28 outbound references displayed

verified exact0
verified fuzzy22
unresolved6
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 8f35d042-ff7d-4afb-9d34-e27c98d3509c · outbound

This paper cites HDReason: Algorithm-Hardware Codesign for Hyperdimensional Knowledge Graph Reasoning.

Cross-Modality Controlled Molecule Generation with Diffusion Language Model HDReason: Algorithm-Hardware Codesign for Hyperdimensional Knowledge Graph Reasoning

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-05T18:23:03.430485Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d4332cbe-3830-47da-bafa-3baae6c2bb2e · outbound

This paper cites Hyperdimensional representation learning for node classification and link prediction.

Cross-Modality Controlled Molecule Generation with Diffusion Language Model Hyperdimensional representation learning for node classification and link prediction

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:23:07.307272Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation fbc206f1-e9b9-4fdb-be49-5b7d77632ba8 · outbound

This paper cites Imagebind: One embedding space to bind them all.

Cross-Modality Controlled Molecule Generation with Diffusion Language Model Imagebind: One embedding space to bind them all

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-05T18:23:03.591777Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 380ffd58-7104-4ef9-a0ea-c63fe37de4c8 · outbound

This paper cites Building a mind palace: Structuring environment-grounded semantic graphs for effective long video analysis with llms.

Cross-Modality Controlled Molecule Generation with Diffusion Language Model Building a mind palace: Structuring environment-grounded semantic graphs for effective long video analysis with llms

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:23:07.289495Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 9de48a92-5de5-45fc-baba-e76b5c0d5a91 · outbound

This paper cites Exploiting boosting in hyperdimensional computing for enhanced reliability in healthcare.

Cross-Modality Controlled Molecule Generation with Diffusion Language Model Exploiting boosting in hyperdimensional computing for enhanced reliability in healthcare

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:23:07.277649Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 8657a847-ddf2-44a0-876d-8ab1d7f7653a · outbound

This paper cites Hyperdimensional computing: An introduction to computing in distributed representation with high-dimensional random vectors.Cognitive computation, 1:139–159, 2009.

Cross-Modality Controlled Molecule Generation with Diffusion Language Model Hyperdimensional computing: An introduction to computing in distributed representation with high-dimensional random vectors.Cognitive computation, 1:139–159, 2009

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:23:07.265734Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 86aebcab-13a8-4045-b9bf-93db871527a6 · outbound

This paper cites Kipf and Max Welling.

Cross-Modality Controlled Molecule Generation with Diffusion Language Model Kipf and Max Welling

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-05T18:23:03.856498Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 848f666f-b958-4906-97b4-0e69d576b85f · outbound

This paper cites A survey on hyperdimensional computing aka vector symbolic architectures, part i: Models and data transformations.ACM Computing Surveys, 55(6):1–40, 2022.

Cross-Modality Controlled Molecule Generation with Diffusion Language Model A survey on hyperdimensional computing aka vector symbolic architectures, part i: Models and data transformations.ACM Computing Surveys, 55(6):1–40, 2022

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:23:07.249738Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 4a16101d-d84f-440b-a9ec-67c7e8b4c09d · outbound

This paper cites GraphOTTER: Evolving LLM-based graph reasoning for complex table question answering.

Cross-Modality Controlled Molecule Generation with Diffusion Language Model GraphOTTER: Evolving LLM-based graph reasoning for complex table question answering

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:23:07.239686Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation ec388137-025c-479a-8c81-a96f2ce69bbc · outbound

This paper cites Reasoning on graphs: Faithful and interpretable large language model reasoning.

Cross-Modality Controlled Molecule Generation with Diffusion Language Model Reasoning on graphs: Faithful and interpretable large language model reasoning

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:23:07.230196Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation bc731d11-22ff-4ef2-8625-cafc992129ee · outbound

This paper cites Unbiased multiple instance learning for weakly supervised video anomaly detection.

Cross-Modality Controlled Molecule Generation with Diffusion Language Model Unbiased multiple instance learning for weakly supervised video anomaly detection

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:23:07.219403Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 27a0abad-5a4d-4cd9-a462-df5bda91cdd0 · outbound

This paper cites Pv-vtt: A privacy-centric dataset for mission-specific anomaly detection and natural language interpretation.

Cross-Modality Controlled Molecule Generation with Diffusion Language Model Pv-vtt: A privacy-centric dataset for mission-specific anomaly detection and natural language interpretation

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:23:07.208987Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation c38db794-8a84-4968-a8c9-4af997fbd156 · outbound

This paper cites Graphd: Graph-based hyperdimensional memorization for brain-like cognitive learning.Frontiers in Neuroscience, 16:757125, 2022.

Cross-Modality Controlled Molecule Generation with Diffusion Language Model Graphd: Graph-based hyperdimensional memorization for brain-like cognitive learning.Frontiers in Neuroscience, 16:757125, 2022

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:23:07.197986Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 9dcffd03-ded5-4677-b0fd-29ce88868fe4 · outbound

This paper cites Step: Enhancing video-llms’ compositional reasoning by spatio-temporal graph- guided self-training.

Cross-Modality Controlled Molecule Generation with Diffusion Language Model Step: Enhancing video-llms’ compositional reasoning by spatio-temporal graph- guided self-training

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:23:07.188228Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation bb0c9b2e-854b-4084-9c81-9bde3df6d1c2 · outbound

This paper cites A vision check-up for language models.

Cross-Modality Controlled Molecule Generation with Diffusion Language Model A vision check-up for language models

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:23:07.178609Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation f86851de-4f9d-4ef1-8324-f896705b4d0b · outbound

This paper cites Real-world anomaly detection in surveillance videos.

Cross-Modality Controlled Molecule Generation with Diffusion Language Model Real-world anomaly detection in surveillance videos

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-05T18:23:05.394933Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9b93343f-5e7a-4a9f-8a20-0c602e1d5664 · outbound

This paper cites A theoretical perspective on hyperdimensional computing.

Cross-Modality Controlled Molecule Generation with Diffusion Language Model A theoretical perspective on hyperdimensional computing

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:23:07.161748Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 3c2d94d2-33bb-4e3f-a491-6a2c0d9beadd · outbound

This paper cites Weakly- supervised video anomaly detection with robust temporal feature magnitude learning.

Cross-Modality Controlled Molecule Generation with Diffusion Language Model Weakly- supervised video anomaly detection with robust temporal feature magnitude learning

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:23:07.150757Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 5fa4ddb7-14e0-4e9c-98c0-120262691940 · outbound

This paper cites Graph Attention Networks.

Cross-Modality Controlled Molecule Generation with Diffusion Language Model Graph Attention Networks

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-05T18:23:05.915763Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e177959d-129a-4e73-94ab-9bf55634e765 · outbound

This paper cites Vqa-gnn: Reasoning with multimodal knowledge via graph neural networks for visual question answering.

Cross-Modality Controlled Molecule Generation with Diffusion Language Model Vqa-gnn: Reasoning with multimodal knowledge via graph neural networks for visual question answering

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:23:07.139143Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 325b9198-5e12-47f1-b0c9-226bba371eb9 · outbound

This paper cites Not only look, but also listen: Learning multimodal violence detection under weak supervision.

Cross-Modality Controlled Molecule Generation with Diffusion Language Model Not only look, but also listen: Learning multimodal violence detection under weak supervision

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:23:07.126974Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation b2cb1a9c-a286-477c-a5b0-f8d33437f1ed · outbound

This paper cites Scene graph generation by iterative message passing.

Cross-Modality Controlled Molecule Generation with Diffusion Language Model Scene graph generation by iterative message passing

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:23:07.114305Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 36d57e91-9e3e-425a-8009-f3b373612c77 · outbound

This paper cites Text prompt with normality guidance for weakly supervised video anomaly detection.

Cross-Modality Controlled Molecule Generation with Diffusion Language Model Text prompt with normality guidance for weakly supervised video anomaly detection

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:23:07.104497Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 83799314-ce6b-4ad7-aeab-9c08fe552564 · outbound

This paper cites Missiongnn: Hierarchical multimodal gnn-based weakly supervised video anomaly recognition with mission-specific knowledge graph generation.

Cross-Modality Controlled Molecule Generation with Diffusion Language Model Missiongnn: Hierarchical multimodal gnn-based weakly supervised video anomaly recognition with mission-specific knowledge graph generation

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:23:07.094503Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation daf285e1-f50d-4e1d-acd2-3d60ad34108e · outbound

This paper cites Delving into clip latent space for video anomaly recognition.Computer Vision and Image Understanding, 249:104163, 2024.

Cross-Modality Controlled Molecule Generation with Diffusion Language Model Delving into clip latent space for video anomaly recognition.Computer Vision and Image Understanding, 249:104163, 2024

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:23:07.083128Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 58b29cd8-e295-4c1b-96e9-c6fcb3924bab · outbound

This paper cites Graph structure refinement with energy-based contrastive learning.

Cross-Modality Controlled Molecule Generation with Diffusion Language Model Graph structure refinement with energy-based contrastive learning

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:23:07.072401Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 22f6f623-6961-446c-9fa8-cc55f66caac9 · outbound

This paper cites Self-supervised graph structure refinement for graph neural networks.

Cross-Modality Controlled Molecule Generation with Diffusion Language Model Self-supervised graph structure refinement for graph neural networks

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-05T18:23:06.984324Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2a409a98-b373-4049-b2be-c7844dc29841 · outbound

This paper cites Graph convolutional label noise cleaner: Train a plug-and-play action classifier for anomaly detection.

Cross-Modality Controlled Molecule Generation with Diffusion Language Model Graph convolutional label noise cleaner: Train a plug-and-play action classifier for anomaly detection

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:23:07.052663Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Pith citing papers

No inbound Pith citation observations are available.