Paper Citation Record · LEDGER

TILDE: TILt-based Distributional Erasure for Concept Unlearning

As of 9 August 2026, this Paper Citation Record lists 46 of 46 outbound references and 0 inbound Pith citation observations for arXiv:2607.06432.

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

pith.paper-citation-record.v1
2607.06432 v1

Coverage vector

measured 46 of 46 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-08T06:06:17.561206Z

measured 46 of 46 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+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

46 of 46 outbound references displayed

verified exact2
verified fuzzy39
unresolved4
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation faac5f7c-8748-4bd4-8c3a-26db1f0a116c · outbound

This paper cites Erasing more than intended? how concept erasure degrades the generation of non-target con- cepts.

TILDE: TILt-based Distributional Erasure for Concept Unlearning Erasing more than intended? how concept erasure degrades the generation of non-target con- cepts

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T06:14:38.944556Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation c8477644-b351-407e-ba7e-3ba9d82d3002 · outbound

This paper cites Qwen2.5-VL Technical Report.

TILDE: TILt-based Distributional Erasure for Concept Unlearning Qwen2.5-VL Technical Report

Reference 2

Resolution: verified exact; local_arxiv, observed 2026-07-08T06:14:38.559929Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T16:08:16.864468+00:00.

Observation 4a864ff7-b829-462b-9071-514a7567320e · outbound

This paper cites GFlowNet foundations.Journal of Machine Learning Research, 24(210):1–55, 2023.

TILDE: TILt-based Distributional Erasure for Concept Unlearning GFlowNet foundations.Journal of Machine Learning Research, 24(210):1–55, 2023

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T06:14:38.932163Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation de01b648-c5a9-4108-b1ce-2e017a5700b9 · outbound

This paper cites Training diffusion models with reinforcement learning.

TILDE: TILt-based Distributional Erasure for Concept Unlearning Training diffusion models with reinforcement learning

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T06:14:38.942534Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 8ff5db57-d307-49fa-965b-039983b280bc · outbound

This paper cites Fantastic targets for concept erasure in diffusion models and where to find them.

TILDE: TILt-based Distributional Erasure for Concept Unlearning Fantastic targets for concept erasure in diffusion models and where to find them

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T06:14:38.936627Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation f0195546-5be2-4302-a862-bd80239565fb · outbound

This paper cites an unresolved cited work.

TILDE: TILt-based Distributional Erasure for Concept Unlearning Unresolved cited work

Reference 6

Resolution: unresolved; raw_fallback, observed 2026-07-08T06:14:38.946664Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 3da7ec8e-c4a8-452f-87d4-e888192c054a · outbound

This paper cites Reference-specific unlearning metrics can hide the truth: A reality check.arXiv preprint arXiv:2510.12981, 2025.

TILDE: TILt-based Distributional Erasure for Concept Unlearning Reference-specific unlearning metrics can hide the truth: A reality check.arXiv preprint arXiv:2510.12981, 2025

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-07-08T06:14:38.563189Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation a09b0e8c-5da8-4aec-99ca-126039cecf76 · outbound

This paper cites Directly fine-tuning diffusion models on differentiable rewards.

TILDE: TILt-based Distributional Erasure for Concept Unlearning Directly fine-tuning diffusion models on differentiable rewards

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T06:14:38.934250Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 91d92eff-7b2f-4d36-add4-22b9832bc910 · outbound

This paper cites Regulation (EU) 2016/679 of the european parliament and of the council of 27 april 2016.

TILDE: TILt-based Distributional Erasure for Concept Unlearning Regulation (EU) 2016/679 of the european parliament and of the council of 27 april 2016

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T06:14:38.950417Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 998f6c66-7488-480d-86de-490fcf83a004 · outbound

This paper cites Salun: Empowering machine unlearning via gradient-based weight saliency in both image classification and generation.

TILDE: TILt-based Distributional Erasure for Concept Unlearning Salun: Empowering machine unlearning via gradient-based weight saliency in both image classification and generation

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T06:14:38.938901Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 96aede53-8b2c-49fc-ba47-a1b17ccdeddc · outbound

This paper cites Erasing concepts from diffusion models.

TILDE: TILt-based Distributional Erasure for Concept Unlearning Erasing concepts from diffusion models

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T06:14:38.948672Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 2fd8442c-308a-41f4-b0de-743949cd76c2 · outbound

This paper cites Unified concept editing in diffusion models.

TILDE: TILt-based Distributional Erasure for Concept Unlearning Unified concept editing in diffusion models

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T06:14:38.940731Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 07bafd47-dbb0-478b-9809-5ff8c67baac3 · outbound

This paper cites Meta- unlearning on diffusion models: Preventing relearning unlearned concepts.

TILDE: TILt-based Distributional Erasure for Concept Unlearning Meta- unlearning on diffusion models: Preventing relearning unlearned concepts

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T06:14:38.880682Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 440e8e93-a118-495f-b7d9-e4dbc832599e · outbound

This paper cites The illusion of unlearning: The unstable nature of machine unlearning in text-to-image diffusion models.

TILDE: TILt-based Distributional Erasure for Concept Unlearning The illusion of unlearning: The unstable nature of machine unlearning in text-to-image diffusion models

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T06:14:38.888822Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation c11bc983-7cd7-4429-90fb-58ac3606661e · outbound

This paper cites Locality-aware continual unlearning for diffusion models.

TILDE: TILt-based Distributional Erasure for Concept Unlearning Locality-aware continual unlearning for diffusion models

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T06:14:38.886677Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 54271c53-cca8-407a-beed-4a8e5607d6e2 · outbound

This paper cites Selective amnesia: A continual learning approach to forgetting in deep generative models.Advances in Neural Information Processing Systems, 36:17170–17194.

TILDE: TILt-based Distributional Erasure for Concept Unlearning Selective amnesia: A continual learning approach to forgetting in deep generative models.Advances in Neural Information Processing Systems, 36:17170–17194

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T06:14:38.874277Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 66f0c916-1c9f-4568-8e08-d196277b60a7 · outbound

This paper cites GANs trained by a two time-scale update rule converge to a local nash equilibrium.

TILDE: TILt-based Distributional Erasure for Concept Unlearning GANs trained by a two time-scale update rule converge to a local nash equilibrium

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T06:14:38.900046Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 29ea46ea-1a41-4950-8640-1c8d5ea012a1 · outbound

This paper cites Denoising diffusion probabilistic models.Advances in neural information processing systems, 33:6840–6851.

TILDE: TILt-based Distributional Erasure for Concept Unlearning Denoising diffusion probabilistic models.Advances in neural information processing systems, 33:6840–6851

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T06:14:38.885489Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 229c4247-3d25-440f-8c95-ba3af4f64f18 · outbound

This paper cites LoRA: Low-rank adaptation of large language models.

TILDE: TILt-based Distributional Erasure for Concept Unlearning LoRA: Low-rank adaptation of large language models

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T06:14:38.875989Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 7b4f47a9-a96b-43ae-819f-8a5b9b660d92 · outbound

This paper cites Receler: Reliable concept erasing of text-to-image diffusion models via lightweight erasers.

TILDE: TILt-based Distributional Erasure for Concept Unlearning Receler: Reliable concept erasing of text-to-image diffusion models via lightweight erasers

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T06:14:38.895473Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation a4ffddc3-2950-450d-a634-446b51c22166 · outbound

This paper cites Ablating concepts in text-to-image diffusion models.

TILDE: TILt-based Distributional Erasure for Concept Unlearning Ablating concepts in text-to-image diffusion models

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T06:14:38.888010Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation b94d0ca9-0a7f-4b00-94be-f7a3fa1ed9ff · outbound

This paper cites EraseFlow: Learning concept erasure policies via GFlowNet-driven alignment.

TILDE: TILt-based Distributional Erasure for Concept Unlearning EraseFlow: Learning concept erasure policies via GFlowNet-driven alignment

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T06:14:38.890934Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation a00d9537-6ac4-463b-aaa6-c24e816a7281 · outbound

This paper cites Set you straight: Auto-steering denoising trajectories to sidestep unwanted concepts.

TILDE: TILt-based Distributional Erasure for Concept Unlearning Set you straight: Auto-steering denoising trajectories to sidestep unwanted concepts

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T06:14:38.870684Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 70de067a-7431-4b21-9e9c-d58813418458 · outbound

This paper cites Xiao, Weiyang Liu, Yoshua Bengio, and Dinghuai Zhang.

TILDE: TILt-based Distributional Erasure for Concept Unlearning Xiao, Weiyang Liu, Yoshua Bengio, and Dinghuai Zhang

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T06:14:38.874537Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation eb28e29b-a497-4eff-bf86-4e325b1fa74b · outbound

This paper cites When are concepts erased from diffusion models? In39th Conference on Neural Information Processing Systems (NeurIPS), 2025.

TILDE: TILt-based Distributional Erasure for Concept Unlearning When are concepts erased from diffusion models? In39th Conference on Neural Information Processing Systems (NeurIPS), 2025

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T06:14:38.897774Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation e9c7fd43-fcc8-4590-8acd-792b64abac36 · outbound

This paper cites Mace: Mass concept erasure in diffusion models.

TILDE: TILt-based Distributional Erasure for Concept Unlearning Mace: Mass concept erasure in diffusion models

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T06:14:38.872734Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 7e870d55-1da3-4762-b297-a39e0b157901 · outbound

This paper cites Trajectory balance: Improved credit assignment in GFlowNets.

TILDE: TILt-based Distributional Erasure for Concept Unlearning Trajectory balance: Improved credit assignment in GFlowNets

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T06:14:38.893132Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation a3f46614-6dcc-4ec9-9076-f90eea087cd8 · outbound

This paper cites Ascent fails to forget.

TILDE: TILt-based Distributional Erasure for Concept Unlearning Ascent fails to forget

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T06:14:38.878803Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 2f5d6455-9d89-4914-ba15-d3c4b056fbf5 · outbound

This paper cites an unresolved cited work.

TILDE: TILt-based Distributional Erasure for Concept Unlearning Unresolved cited work

Reference 29

Resolution: unresolved; raw_fallback, observed 2026-07-08T06:14:38.921511Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 1fdddd59-5852-4be4-aff4-4216cd9540b2 · outbound

This paper cites Direct unlearning optimization for robust and safe text-to-image models.

TILDE: TILt-based Distributional Erasure for Concept Unlearning Direct unlearning optimization for robust and safe text-to-image models

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T06:14:38.923340Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 7dbe706f-0c0f-4717-b8de-e1297d9a2388 · outbound

This paper cites Learning to unlearn while retaining: Combating gradient conflicts in machine unlearning.

TILDE: TILt-based Distributional Erasure for Concept Unlearning Learning to unlearn while retaining: Combating gradient conflicts in machine unlearning

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T06:14:38.928343Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation c59aff18-b0d5-4dfc-bc64-2c5008aac62a · outbound

This paper cites Learning transferable visual models from natural language supervision.

TILDE: TILt-based Distributional Erasure for Concept Unlearning Learning transferable visual models from natural language supervision

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T06:14:38.917848Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation beec0ae0-8a91-471d-8272-190aa86ee71e · outbound

This paper cites Six-cd: Benchmarking concept removals for text-to-image diffusion models.

TILDE: TILt-based Distributional Erasure for Concept Unlearning Six-cd: Benchmarking concept removals for text-to-image diffusion models

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T06:14:38.919586Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 8acacf0e-0cef-4b22-901c-365030f5256e · outbound

This paper cites High- resolution image synthesis with latent diffusion models.

TILDE: TILt-based Distributional Erasure for Concept Unlearning High- resolution image synthesis with latent diffusion models

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T06:14:38.925648Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 2f7e4cd0-85b1-4ca5-bbf0-19ae0771f097 · outbound

This paper cites Score-based generative modeling through stochastic differential equations.

TILDE: TILt-based Distributional Erasure for Concept Unlearning Score-based generative modeling through stochastic differential equations

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T06:14:38.910064Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation f0f7cfcd-b60d-4981-8c1c-cf36d5e82ead · outbound

This paper cites Stereo: A two-stage framework for adversarially robust concept erasing from text-to-image diffusion models.

TILDE: TILt-based Distributional Erasure for Concept Unlearning Stereo: A two-stage framework for adversarially robust concept erasing from text-to-image diffusion models

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T06:14:38.912112Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation c8a14af0-10a1-447e-b1b4-b027a346f102 · outbound

This paper cites Ring-a-bell! how reliable are concept removal methods for diffusion models? In12th International Conference on Learning Representations, 2024.

TILDE: TILt-based Distributional Erasure for Concept Unlearning Ring-a-bell! how reliable are concept removal methods for diffusion models? In12th International Conference on Learning Representations, 2024

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T06:14:38.914110Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 7e89d0cb-d1f6-47be-a6c6-68769884910b · outbound

This paper cites Fine-Tuning of Continuous-Time Diffusion Models as Entropy-Regularized Control.

TILDE: TILt-based Distributional Erasure for Concept Unlearning Fine-Tuning of Continuous-Time Diffusion Models as Entropy-Regularized Control

Reference 38

Resolution: metadata mismatch; local_arxiv, observed 2026-07-08T06:14:38.557174Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 2fe23631-37d4-4868-90a1-309a6eef7812 · outbound

This paper cites Scissorhands: Scrub data influence via connection sensitivity in networks.

TILDE: TILt-based Distributional Erasure for Concept Unlearning Scissorhands: Scrub data influence via connection sensitivity in networks

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T06:14:38.908219Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 35b08fb5-e721-4447-9060-12b21429f870 · outbound

This paper cites Erasing undesirable influence in diffusion models.

TILDE: TILt-based Distributional Erasure for Concept Unlearning Erasing undesirable influence in diffusion models

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T06:14:38.890761Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 7a24ef22-e00d-4a65-a795-165c0477ac67 · outbound

This paper cites UnlearnCanvas: A stylized image dataset for enhanced machine unlearning evaluation in diffusion models.

TILDE: TILt-based Distributional Erasure for Concept Unlearning UnlearnCanvas: A stylized image dataset for enhanced machine unlearning evaluation in diffusion models

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T06:14:38.904276Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 4f608274-5d3d-46b0-90e1-2ce8f3d35fbb · outbound

This paper cites Defensive unlearning with adversarial training for robust concept erasure in diffusion models.Advances in neural information processing systems, 37: 36748–36776.

TILDE: TILt-based Distributional Erasure for Concept Unlearning Defensive unlearning with adversarial training for robust concept erasure in diffusion models.Advances in neural information processing systems, 37: 36748–36776

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T06:14:38.884667Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 22b9c4e4-8eea-4976-902b-02d624c78447 · outbound

This paper cites To generate or not? safety-driven unlearned diffusion models are still easy to generate unsafe images.

TILDE: TILt-based Distributional Erasure for Concept Unlearning To generate or not? safety-driven unlearned diffusion models are still easy to generate unsafe images

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T06:14:38.906427Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 6511af3a-dc46-4b22-be9c-fbdb01745745 · outbound

This paper cites for free,.

TILDE: TILt-based Distributional Erasure for Concept Unlearning for free,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T06:14:38.916158Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 548590b9-1a42-480f-98a3-247252da9a90 · outbound

This paper cites an unresolved cited work.

TILDE: TILt-based Distributional Erasure for Concept Unlearning Unresolved cited work

Reference 45

Resolution: unresolved; raw_fallback, observed 2026-07-08T06:14:38.930204Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 875378d4-a1e9-4a0d-9feb-ed3b6d212fe2 · outbound

This paper cites an unresolved cited work.

TILDE: TILt-based Distributional Erasure for Concept Unlearning Unresolved cited work

Reference 46

Resolution: unresolved; raw_fallback, observed 2026-07-08T06:14:38.902402Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Pith citing papers

No inbound Pith citation observations are available.