Pith. sign in

Paper Citation Record · LEDGER

Position: Agentic Systems Constitute a Key Component of Next-Generation Intelligent Image Processing

As of 13 August 2026, this Paper Citation Record lists 70 of 70 outbound references and 0 inbound Pith citation observations for arXiv:2505.16007.

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

pith.paper-citation-record.v1
2505.16007 v1

Coverage vector

measured 70 of 70 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:11:16.532405Z

measured 70 of 70 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

70 of 70 outbound references displayed

  • verified exact5
  • verified fuzzy26
  • unresolved39
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 6c8fb7bf-34fc-4437-a878-a96c28a450e5 · outbound

This paper cites GPT-4 Technical Report.

Position: Agentic Systems Constitute a Key Component of Next-Generation Intelligent Image Processing GPT-4 Technical Report

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-07T15:11:10.874983Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:11:10.874983Z digest=sha256:b9e599a1fbf62862158d42fef8d61081ff93c3cda8b1ac5da614c8a84efca72e

Observation c3a64bb3-0877-44e8-945f-cae76ebb2a30 · outbound

This paper cites Graph of thoughts: Solving elaborate problems with large language models.

Position: Agentic Systems Constitute a Key Component of Next-Generation Intelligent Image Processing Graph of thoughts: Solving elaborate problems with large language models

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-07T15:11:10.964806Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:11:10.964806Z digest=sha256:6deabd07c652f8625df8f1f28857533fe5b0d7f504307b567c52ca7d2e3ebe58

Observation cdb7f991-9ad1-4b04-9674-4781d491c34d · outbound

This paper cites Unpro- cessing images for learned raw denoising.

Position: Agentic Systems Constitute a Key Component of Next-Generation Intelligent Image Processing Unpro- cessing images for learned raw denoising

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:11:17.815890Z

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=2026-08-07T15:11:11.026566Z digest=sha256:11f991b2caf507ca80d5f2392347ed50f52bc7aef7ad66818b77494dba16b742

Observation fdb011d4-5744-411c-adfd-bfa206e5413d · outbound

This paper cites Language models are few-shot learners.

Position: Agentic Systems Constitute a Key Component of Next-Generation Intelligent Image Processing Language models are few-shot learners

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:11:17.798754Z

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=2026-08-07T15:11:11.103011Z digest=sha256:4a69d96e23539383b57f813ee3d4800b493a172be3d51e213598053ccb95cb02

Observation 5eb308de-43eb-406f-9b32-6a64ffbd6b9d · outbound

This paper cites Reconfiguring the imaging pipeline for computer vision.

Position: Agentic Systems Constitute a Key Component of Next-Generation Intelligent Image Processing Reconfiguring the imaging pipeline for computer vision

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:11:17.781925Z

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=2026-08-07T15:11:11.183070Z digest=sha256:ff0c2dca361db877af0b9ea81adef2c9e00470181372df48acb74f0645bc51e6

Observation a1403839-7d84-44fe-acc2-f87036743eb8 · outbound

This paper cites A Survey on Mixture of Experts in Large Language Models.

Position: Agentic Systems Constitute a Key Component of Next-Generation Intelligent Image Processing A Survey on Mixture of Experts in Large Language Models

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-07T15:11:11.230946Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:11:11.230946Z digest=sha256:6ddea4cbc9d721613448f24934ac3d6237d38d5412a2af723f5be433dff4914a

Observation 96910b1e-17aa-46ce-b04b-11a4b114e3e2 · outbound

This paper cites AutoAgents: A Framework for Automatic Agent Generation.

Position: Agentic Systems Constitute a Key Component of Next-Generation Intelligent Image Processing AutoAgents: A Framework for Automatic Agent Generation

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-07T15:11:11.306207Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:11:11.306207Z digest=sha256:d46530690951a3af0fc770230df7ea9b532569c3f4b3c7d14eba7c92fcd07bdf

Observation 91b01044-debb-4a4e-9574-353427ef8674 · outbound

This paper cites Masked image training for generalizable deep image denoising.

Position: Agentic Systems Constitute a Key Component of Next-Generation Intelligent Image Processing Masked image training for generalizable deep image denoising

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:11:17.765767Z

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=2026-08-07T15:11:11.351527Z digest=sha256:9eca26d7ecd3aa412222cadd5733a1bd8d4722803740eb67c25a010f1e64016a

Observation 9ea61492-3b32-40be-b649-b2167e955dc0 · outbound

This paper cites Restoreagent: Autonomous image restoration agent via multimodal large language models.

Position: Agentic Systems Constitute a Key Component of Next-Generation Intelligent Image Processing Restoreagent: Autonomous image restoration agent via multimodal large language models

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:11:17.749876Z

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=2026-08-07T15:11:11.457689Z digest=sha256:3c9a5b748b2b6c2eec2443c5de3a861599e6f1c7ae506bb4749778bafdf6d093

Observation 1de6586f-b56c-4d70-8a98-cc4b7ccf57cf · outbound

This paper cites Low-res leads the way: Improving generalization for super-resolution by self-supervised learning.

Position: Agentic Systems Constitute a Key Component of Next-Generation Intelligent Image Processing Low-res leads the way: Improving generalization for super-resolution by self-supervised learning

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:11:17.733459Z

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=2026-08-07T15:11:11.575214Z digest=sha256:e129524960b51516ef90f9392a97c5e0077c0066c9fa543969433245308db263

Observation ed269901-4c30-43bc-b72d-4ccb71874b8f · outbound

This paper cites Learning A Low-Level Vision Generalist via Visual Task Prompt.

Position: Agentic Systems Constitute a Key Component of Next-Generation Intelligent Image Processing Learning A Low-Level Vision Generalist via Visual Task Prompt

Reference 11

Resolution
verified exact
local_arxiv, observed 2026-08-07T15:11:17.181686Z

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=2026-08-07T15:11:11.727478Z digest=sha256:479c975c57de3ab036a0977c843b48d57a5e4d6113c8e115a2031e7e7c26bb0b

Observation 8c323c66-a832-4c99-8e22-cb9bd77bf085 · outbound

This paper cites Mod-squad: Designing mixtures of experts as modular multi-task learners.

Position: Agentic Systems Constitute a Key Component of Next-Generation Intelligent Image Processing Mod-squad: Designing mixtures of experts as modular multi-task learners

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:11:17.715608Z

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=2026-08-07T15:11:11.849585Z digest=sha256:ae859fc2307d7248cf4dfcf875a3f3bb528b13dc8c98ef06628d3f77c841f0e1

Observation fde59c15-0bed-4c98-8c13-068bf80e74dc · outbound

This paper cites DeepSeekMoE: Towards Ultimate Expert Specialization in Mixture-of-Experts Language Models.

Position: Agentic Systems Constitute a Key Component of Next-Generation Intelligent Image Processing DeepSeekMoE: Towards Ultimate Expert Specialization in Mixture-of-Experts Language Models

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-07T15:11:12.011380Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:11:12.011380Z digest=sha256:664d068a1e6ad435b5b58f72024a8bf912b46374fdf25cace3577381638e8a3b

Observation 9805a674-d78f-407c-b1c3-2635a22e64f9 · outbound

This paper cites Image super-resolution using deep convolutional networks.

Position: Agentic Systems Constitute a Key Component of Next-Generation Intelligent Image Processing Image super-resolution using deep convolutional networks

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:11:17.698118Z

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=2026-08-07T15:11:12.134355Z digest=sha256:5b2b01ff29ef94ce1d8cab39ed8a73516ca26dd5fd40829aa3283e1831e5652d

Observation 0b0c0e42-317e-4dcc-bbb5-511a74c92d6b · outbound

This paper cites The Llama 3 Herd of Models.

Position: Agentic Systems Constitute a Key Component of Next-Generation Intelligent Image Processing The Llama 3 Herd of Models

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-07T15:11:12.188060Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:11:12.188060Z digest=sha256:e805197dacd83b8439cf8534ada44e11f435138aefd5e857445944fc2227d189

Observation 9af1befe-fe49-493e-9172-22bf348fa58c · outbound

This paper cites Agent AI: Surveying the Horizons of Multimodal Interaction.

Position: Agentic Systems Constitute a Key Component of Next-Generation Intelligent Image Processing Agent AI: Surveying the Horizons of Multimodal Interaction

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-07T15:11:12.255633Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:11:12.255633Z digest=sha256:38361912ad91f293b92729d8179ab159ce42c5f2a7605c57dc70f8acbe5c0412

Observation 1950d87d-f4c3-41d1-9a12-a27907f3d47c · outbound

This paper cites Is it an agent, or just a program?: A taxonomy for autonomous agents.

Position: Agentic Systems Constitute a Key Component of Next-Generation Intelligent Image Processing Is it an agent, or just a program?: A taxonomy for autonomous agents

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:11:17.681028Z

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=2026-08-07T15:11:12.350452Z digest=sha256:dc76434a570310d4e10b82240a0c1ab4488afbc6c658ede7d361bd5b0aea5f00

Observation 08b4714b-c33c-4d4d-8baa-c3e6dc65801d · outbound

This paper cites Image Quality Assessment for Perceptual Image Restoration: A New Dataset, Benchmark and Metric.

Position: Agentic Systems Constitute a Key Component of Next-Generation Intelligent Image Processing Image Quality Assessment for Perceptual Image Restoration: A New Dataset, Benchmark and Metric

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-07T15:11:12.416186Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:11:12.416186Z digest=sha256:46697bfea988958d7af0721441ac23b1b83427b56f26091911bebb1d12e119b1

Observation f749c74c-e7a2-4425-98f4-f3e8c877844f · outbound

This paper cites Interpreting super-resolution networks with local attribution maps.

Position: Agentic Systems Constitute a Key Component of Next-Generation Intelligent Image Processing Interpreting super-resolution networks with local attribution maps

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:11:17.663766Z

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=2026-08-07T15:11:12.490542Z digest=sha256:89fdd200eb53f017fd6a71e376f1ad704a88b0b049df817885bdfb78e9badfbb

Observation 4a96b5a9-20c5-4588-ad03-240a2b2574c4 · outbound

This paper cites Networks are slacking off: Under- standing generalization problem in image deraining.

Position: Agentic Systems Constitute a Key Component of Next-Generation Intelligent Image Processing Networks are slacking off: Under- standing generalization problem in image deraining

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:11:17.646564Z

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=2026-08-07T15:11:12.545770Z digest=sha256:b9fe0644e8285ee53e898235982b1f16812ac6ed7b4b2ddf8c22117c913259c3

Observation 8d539151-3030-4628-84d8-348fb758cd40 · outbound

This paper cites Saycanpay: Heuristic planning with large language models using learnable domain knowledge.

Position: Agentic Systems Constitute a Key Component of Next-Generation Intelligent Image Processing Saycanpay: Heuristic planning with large language models using learnable domain knowledge

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-07T15:11:12.619121Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:11:12.619121Z digest=sha256:2d005ad5de52ca33f5b62358173fa62c74a661c4dcf3bb4299f0dc8092a58b69

Observation a0f03850-dec5-4548-8bb6-35051d54f227 · outbound

This paper cites Interpreting Low-level Vision Models with Causal Effect Maps.

Position: Agentic Systems Constitute a Key Component of Next-Generation Intelligent Image Processing Interpreting Low-level Vision Models with Causal Effect Maps

Reference 22

Resolution
verified exact
local_arxiv, observed 2026-08-07T15:11:17.098740Z

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=2026-08-07T15:11:12.686670Z digest=sha256:f27e306ab94b5c26f99f1a7da4516caa71777db0a28cbdfe8ef622ca08b69abc

Observation 72af3e9d-de24-4042-8dff-4072ed8dd85b · outbound

This paper cites Exposure: A white-box photo post-processing framework.

Position: Agentic Systems Constitute a Key Component of Next-Generation Intelligent Image Processing Exposure: A white-box photo post-processing framework

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:11:17.618791Z

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=2026-08-07T15:11:12.893416Z digest=sha256:75a981c9233127d493b91b7b222a4d9a1ed5a1a1e63fb587d21b5160b5dccbd9

Observation d51f4a9b-5109-41b3-ad29-3718cee15c2f · outbound

This paper cites Learning agile and dynamic motor skills for legged robots.Science Robotics, 4(26):eaau5872, 2019.

Position: Agentic Systems Constitute a Key Component of Next-Generation Intelligent Image Processing Learning agile and dynamic motor skills for legged robots.Science Robotics, 4(26):eaau5872, 2019

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-07T15:11:13.021067Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:11:13.021067Z digest=sha256:c561cf74b1ab52229b86a218bf4eabc7ef7f7db0f90c1022f9b73b3fd4c8a6f6

Observation 0d8774a0-8a53-42bc-87ba-36388b23e259 · outbound

This paper cites Mistral 7B.

Position: Agentic Systems Constitute a Key Component of Next-Generation Intelligent Image Processing Mistral 7B

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-07T15:11:13.160038Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:11:13.160038Z digest=sha256:ea4c9e1e924751a917d48d63693454981e1cecc884a2c20bf03bd915f92c043c

Observation 20f2ebbc-fdbb-463e-bc38-47ba171b9cfe · outbound

This paper cites Mixtral of Experts.

Position: Agentic Systems Constitute a Key Component of Next-Generation Intelligent Image Processing Mixtral of Experts

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-07T15:11:13.286802Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:11:13.286802Z digest=sha256:2cf59f6351b001122643f9fe5d19be1d44ab4ddde4c1d128b6b6a02589145e6f

Observation e20bb3ad-cebd-4d29-8186-8b340c2f2fb6 · outbound

This paper cites Pipal: a large-scale image quality assessment dataset for perceptual image restoration.

Position: Agentic Systems Constitute a Key Component of Next-Generation Intelligent Image Processing Pipal: a large-scale image quality assessment dataset for perceptual image restoration

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:11:17.592863Z

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=2026-08-07T15:11:13.485542Z digest=sha256:3370720b30b4419492ba5bc556fe28e8f57b4a304becfadd7d99c6a9a3c07e1a

Observation e5a0727c-eb95-48ee-9f69-3a36a6687d3d · outbound

This paper cites Thinking, fast and slow.

Position: Agentic Systems Constitute a Key Component of Next-Generation Intelligent Image Processing Thinking, fast and slow

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-07T15:11:13.689853Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:11:13.689853Z digest=sha256:b29d9084b69ca5af74ff6d0c59276fd79234d6a7fe9115f428847b5e09a7b109

Observation bf8a3b3a-daf3-432c-aa50-b02a4b1dca1f · outbound

This paper cites Level-5 autonomous driving—are we there yet? a review of research literature.

Position: Agentic Systems Constitute a Key Component of Next-Generation Intelligent Image Processing Level-5 autonomous driving—are we there yet? a review of research literature

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:11:17.564737Z

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=2026-08-07T15:11:13.835582Z digest=sha256:f8fd02cf2723c76735a27e22d397e229c7998bf446d86e37fdc26a89d8169551

Observation 84838e54-89a7-4bc8-b0a6-4fa2e7b2f560 · outbound

This paper cites Large language models are zero-shot reasoners.

Position: Agentic Systems Constitute a Key Component of Next-Generation Intelligent Image Processing Large language models are zero-shot reasoners

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-07T15:11:13.915709Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:11:13.915709Z digest=sha256:69e4080d5bb65e03384d22c31f1bf41b380a8e8744e7195db7a52e0829e767b5

Observation 6b620f24-d837-4f28-8ff3-4804c44d06e8 · outbound

This paper cites A Preliminary Exploration Towards General Image Restoration.

Position: Agentic Systems Constitute a Key Component of Next-Generation Intelligent Image Processing A Preliminary Exploration Towards General Image Restoration

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-07T15:11:14.005676Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:11:14.005676Z digest=sha256:dd50cb95635a77d53c932649421b9577524e7c3bf33ef2dd19b86306b91f50b5

Observation 7059acc6-84d8-4e5c-832a-1d449b6dd4de · outbound

This paper cites Deep learning.

Position: Agentic Systems Constitute a Key Component of Next-Generation Intelligent Image Processing Deep learning

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-07T15:11:14.155827Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:11:14.155827Z digest=sha256:4bd18c33279f4c83183bcc4ff2d9ecd6c74ff30b9dd3b07faadf63ed2bb7e18e

Observation 76495a65-ce4d-4d28-9641-a91a7e326a73 · outbound

This paper cites Retrieval-augmented generation for knowledge- intensive nlp tasks.

Position: Agentic Systems Constitute a Key Component of Next-Generation Intelligent Image Processing Retrieval-augmented generation for knowledge- intensive nlp tasks

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-07T15:11:14.285707Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:11:14.285707Z digest=sha256:6e6a4976f4b36cc76cdfd67f26292c9a328ba91091bcd1d3e9d49339da7e1f8d

Observation 9b3f87a9-3d37-48b9-a667-7a5da7d6c3f9 · outbound

This paper cites Multimodal foundation models: From specialists to general-purpose assistants.

Position: Agentic Systems Constitute a Key Component of Next-Generation Intelligent Image Processing Multimodal foundation models: From specialists to general-purpose assistants

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-07T15:11:14.426230Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:11:14.426230Z digest=sha256:8e59f700472b3ec3fcb793bcad119a804aaf2a8d6f9e620eee5129c4d1424b93

Observation d19caa24-1bc2-4d3c-ae92-361eb27b93cf · outbound

This paper cites Swiftsage: A generative agent with fast and slow thinking for complex interactive tasks.

Position: Agentic Systems Constitute a Key Component of Next-Generation Intelligent Image Processing Swiftsage: A generative agent with fast and slow thinking for complex interactive tasks

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:11:17.505731Z

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=2026-08-07T15:11:14.574958Z digest=sha256:fc46ecfafc591a92c2d641650843197cd7aa6fb8e8b48461804150bb2e00cb80

Observation 5d348abd-2465-4189-9018-f934f6e288be · outbound

This paper cites JarvisIR: Elevating Autonomous Driving Perception with Intelligent Image Restoration.

Position: Agentic Systems Constitute a Key Component of Next-Generation Intelligent Image Processing JarvisIR: Elevating Autonomous Driving Perception with Intelligent Image Restoration

Reference 36

Resolution
verified exact
local_arxiv, observed 2026-08-07T15:11:17.028033Z

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=2026-08-07T15:11:14.718279Z digest=sha256:a7809d6efca9318fab52dd138cc8d41a0cdcffd62ae4fc4c14cb55b58f13513e

Observation 16cdb3a4-497f-4af1-be53-dd8463f31dab · outbound

This paper cites Discovering Distinctive "Semantics" in Super-Resolution Networks.

Position: Agentic Systems Constitute a Key Component of Next-Generation Intelligent Image Processing Discovering Distinctive "Semantics" in Super-Resolution Networks

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-07T15:11:14.795079Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:11:14.795079Z digest=sha256:9027794f32b0bad30448aa84ee63f33c51b3c794dedfd3244ff31bb8597f3160

Observation 4ef4204b-c4ee-4c33-ada9-fcb4141d296f · outbound

This paper cites Evaluating the generalization ability of super-resolution networks.

Position: Agentic Systems Constitute a Key Component of Next-Generation Intelligent Image Processing Evaluating the generalization ability of super-resolution networks

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:11:17.488251Z

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=2026-08-07T15:11:14.855574Z digest=sha256:c266f111b5f7a83e6e86b8a6bd62bace527d2b68a3658f43082dad9a136aad4f

Observation 750c500f-3f46-4869-bedc-fef63756a7fe · outbound

This paper cites Texture-based error analysis for image super-resolution.

Position: Agentic Systems Constitute a Key Component of Next-Generation Intelligent Image Processing Texture-based error analysis for image super-resolution

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:11:17.470755Z

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=2026-08-07T15:11:14.958264Z digest=sha256:0ceb1c1092380a0fa2e25e52e5eb6ab4eca6ba85bf8f745d8923180a6d481d02

Observation 492415ef-6aa9-4ed9-8aeb-968a3d641bd2 · outbound

This paper cites OctoPack: Instruction Tuning Code Large Language Models.

Position: Agentic Systems Constitute a Key Component of Next-Generation Intelligent Image Processing OctoPack: Instruction Tuning Code Large Language Models

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-07T15:11:15.052231Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:11:15.052231Z digest=sha256:332b021776bbadc05d137bdf197ce8473253ef26102e75f2e329d46a6abf8820

Observation c2eddaa7-3d4d-47cf-a32b-3e413e1e1ec2 · outbound

This paper cites Training language models to follow instructions with human feedback.

Position: Agentic Systems Constitute a Key Component of Next-Generation Intelligent Image Processing Training language models to follow instructions with human feedback

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-07T15:11:15.142874Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:11:15.142874Z digest=sha256:5174f58958d0de2431f1ea2e8f2bef35383f1e6bf444e603a0f955059cb9d0b5

Observation 3d270bcc-70d2-4f1a-9b55-f83473cf2e71 · outbound

This paper cites Generative agents: Interactive simulacra of human behavior.

Position: Agentic Systems Constitute a Key Component of Next-Generation Intelligent Image Processing Generative agents: Interactive simulacra of human behavior

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:11:17.441525Z

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=2026-08-07T15:11:15.260959Z digest=sha256:70d60ecb7ce13e4d5fe9139b261c2489e4d1552394058b14c9e2c66a69538965

Observation 9c4675d9-438d-43eb-8266-40fefddbe995 · outbound

This paper cites Code Generation with AlphaCodium: From Prompt Engineering to Flow Engineering.

Position: Agentic Systems Constitute a Key Component of Next-Generation Intelligent Image Processing Code Generation with AlphaCodium: From Prompt Engineering to Flow Engineering

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-07T15:11:15.380049Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:11:15.380049Z digest=sha256:a2d9750ea8206afccc515950232894c75df2ae4890c199683067866e132946d3

Observation 99a18da5-e742-436f-91cb-d7d383fe8315 · outbound

This paper cites Hugginggpt: Solving ai tasks with chatgpt and its friends in hugging face.

Position: Agentic Systems Constitute a Key Component of Next-Generation Intelligent Image Processing Hugginggpt: Solving ai tasks with chatgpt and its friends in hugging face

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:11:17.422016Z

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=2026-08-07T15:11:15.475647Z digest=sha256:0b1d46bd6a2166f4908161666c28512efb6c88ab11e033b41d9fbc56a6190d03

Observation eab5954b-548e-4894-ad92-f55f80dda883 · outbound

This paper cites Reflexion: Language agents with verbal reinforcement learning.

Position: Agentic Systems Constitute a Key Component of Next-Generation Intelligent Image Processing Reflexion: Language agents with verbal reinforcement learning

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-07T15:11:15.601535Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:11:15.601535Z digest=sha256:8c6dc6647e7a28ffd3ee9f664eccb1100b7f968dcc7165825f5d7b33b9d70d9d

Observation dd48c61c-e9f9-4c2f-addf-3140ac929a3e · outbound

This paper cites A general reinforcement learning algorithm that masters chess, shogi, and go through self-play.

Position: Agentic Systems Constitute a Key Component of Next-Generation Intelligent Image Processing A general reinforcement learning algorithm that masters chess, shogi, and go through self-play

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-07T15:11:15.731202Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:11:15.731202Z digest=sha256:eceef57e4f1a89f2a84fe2a270872afa54567c5aa7c04454ce5de3a96f4eef1e

Observation cec6f4e1-2d4f-462d-92d0-192a80b4be23 · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

Position: Agentic Systems Constitute a Key Component of Next-Generation Intelligent Image Processing LLaMA: Open and Efficient Foundation Language Models

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-07T15:11:15.860063Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:11:15.860063Z digest=sha256:f5fedde90ef5466f8e328718787fc85550fbc1b1c79231a68e5bbe9455c0227f

Observation d7cf041e-cfb4-48c4-b634-8c57205a4c3d · outbound

This paper cites An overview of image caption generation methods.

Position: Agentic Systems Constitute a Key Component of Next-Generation Intelligent Image Processing An overview of image caption generation methods

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:11:17.382604Z

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=2026-08-07T15:11:15.871200Z digest=sha256:5c44aefbeb8b46195a12de8ccaa6648cfb7cd03679a2c699ca2819aff943cb2c

Observation 272d6c0a-a83b-4aac-9d3f-a5e6287d4ed7 · outbound

This paper cites A survey on large language model based autonomous agents.

Position: Agentic Systems Constitute a Key Component of Next-Generation Intelligent Image Processing A survey on large language model based autonomous agents

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-07T15:11:15.885592Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:11:15.885592Z digest=sha256:580407e9b5da90a1d67266ea802e0a389d9bba44853eb58b0f5a2c34bbbf8a06

Observation e81c6d57-3616-483d-aa6c-a5f04c56aac5 · outbound

This paper cites Real-esrgan: Training real-world blind super- resolution with pure synthetic data.

Position: Agentic Systems Constitute a Key Component of Next-Generation Intelligent Image Processing Real-esrgan: Training real-world blind super- resolution with pure synthetic data

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:11:17.353429Z

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=2026-08-07T15:11:15.892832Z digest=sha256:ffce787b236815e321f3abf3b4576e2628f73dbf1d577f307dddf53e1cfdd7dd

Observation 9ce1885c-0bb7-400d-a79e-497d78fc0d6c · outbound

This paper cites Chain-of-thought prompting elicits reasoning in large language models.

Position: Agentic Systems Constitute a Key Component of Next-Generation Intelligent Image Processing Chain-of-thought prompting elicits reasoning in large language models

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-07T15:11:15.901203Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:11:15.901203Z digest=sha256:49fe860f9186650c7ba135edffc2f2055e0fdc14d0a9924ef743752d90a2bd6c

Observation c7a2b548-f725-455c-a8e8-91f276324dec · outbound

This paper cites Visual ChatGPT: Talking, Drawing and Editing with Visual Foundation Models.

Position: Agentic Systems Constitute a Key Component of Next-Generation Intelligent Image Processing Visual ChatGPT: Talking, Drawing and Editing with Visual Foundation Models

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-07T15:11:15.958810Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:11:15.958810Z digest=sha256:9d89c47540385916a8bda9486cfc68ce3055817643edf939d68b9111039ccb7d

Observation 2351fd5e-7ebe-44b6-9433-8b2268e094c9 · outbound

This paper cites Q-Bench: A Benchmark for General-Purpose Foundation Models on Low-level Vision.

Position: Agentic Systems Constitute a Key Component of Next-Generation Intelligent Image Processing Q-Bench: A Benchmark for General-Purpose Foundation Models on Low-level Vision

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-07T15:11:16.029902Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:11:16.029902Z digest=sha256:61d933aefc57756b77f9a8516299cc095a72b61a959c333a16a82f74c6528b1a

Observation bf09c34d-1fbc-408d-88c3-ecb4532e3352 · outbound

This paper cites Q-Align: Teaching LMMs for Visual Scoring via Discrete Text-Defined Levels.

Position: Agentic Systems Constitute a Key Component of Next-Generation Intelligent Image Processing Q-Align: Teaching LMMs for Visual Scoring via Discrete Text-Defined Levels

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-07T15:11:16.116360Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:11:16.116360Z digest=sha256:9b1f628e98fd9d5291858813796b1916321e3c15b5d43ad2d9209c5dbf7219f1

Observation 4568a5ab-c723-491d-99bb-d4f1362516ab · outbound

This paper cites Towards Open-ended Visual Quality Comparison.

Position: Agentic Systems Constitute a Key Component of Next-Generation Intelligent Image Processing Towards Open-ended Visual Quality Comparison

Reference 55

Resolution
verified exact
local_arxiv, observed 2026-08-07T15:11:16.892405Z

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=2026-08-07T15:11:16.181141Z digest=sha256:97ea38f32023c1f401b4c8f70615c98b48f28aabaa23d5f7a5027920eaaedf59

Observation 919ab83a-9364-4d2b-8982-0e1a56081b4e · outbound

This paper cites The Rise and Potential of Large Language Model Based Agents: A Survey.

Position: Agentic Systems Constitute a Key Component of Next-Generation Intelligent Image Processing The Rise and Potential of Large Language Model Based Agents: A Survey

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-07T15:11:16.240279Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:11:16.240279Z digest=sha256:27f476839374f91962290a97b18df6b943e1b747f3da0e9480f81a057532e4ef

Observation 15cc3e9c-a34a-4e17-bb9b-de9298b7de59 · outbound

This paper cites Tree of thoughts: Deliberate problem solving with large language models.

Position: Agentic Systems Constitute a Key Component of Next-Generation Intelligent Image Processing Tree of thoughts: Deliberate problem solving with large language models

Reference 57

Resolution
unresolved
no resolver link, observed 2026-08-07T15:11:16.309599Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:11:16.309599Z digest=sha256:95ef795900a923bb0039bdb54b58edcda41d7940178ed47f613e3bba4f817c38

Observation 926ed7a8-fb4e-4514-8988-9d2b0693dc05 · outbound

This paper cites ReAct: Synergizing Reasoning and Acting in Language Models.

Position: Agentic Systems Constitute a Key Component of Next-Generation Intelligent Image Processing ReAct: Synergizing Reasoning and Acting in Language Models

Reference 58

Resolution
unresolved
no resolver link, observed 2026-08-07T15:11:16.372096Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:11:16.372096Z digest=sha256:e3702f940e78b31994279a85bab378f04a9b37f75aa7dab7b6a7edec452b8c87

Observation bb3b6991-cfe6-4994-9430-ed67f053ba3a · outbound

This paper cites Teaching large language models to regress accurate image quality scores using score distribution.

Position: Agentic Systems Constitute a Key Component of Next-Generation Intelligent Image Processing Teaching large language models to regress accurate image quality scores using score distribution

Reference 59

Resolution
unresolved
no resolver link, observed 2026-08-07T15:11:16.448759Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:11:16.448759Z digest=sha256:f8e88250ba7bbc0e034ce41a15cff5b4370e0c2de01fdeb1b52d0842852ba940

Observation 7b248baf-cb4a-4b2b-a391-75f9f1bb01e1 · outbound

This paper cites Descriptive image quality assessment in the wild.

Position: Agentic Systems Constitute a Key Component of Next-Generation Intelligent Image Processing Descriptive image quality assessment in the wild

Reference 60

Resolution
unresolved
no resolver link, observed 2026-08-07T15:11:16.471567Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:11:16.471567Z digest=sha256:b32b449bc0990467bc2dcc01da3037a0690115cc5c704cdcf82d83564536a44a

Observation 228caf1b-b113-4a53-9091-5152388b4f73 · outbound

This paper cites Depicting Beyond Scores: Advancing Image Quality Assessment through Multi-modal Language Models.

Position: Agentic Systems Constitute a Key Component of Next-Generation Intelligent Image Processing Depicting Beyond Scores: Advancing Image Quality Assessment through Multi-modal Language Models

Reference 61

Resolution
unresolved
no resolver link, observed 2026-08-07T15:11:16.484922Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:11:16.484922Z digest=sha256:6f80330074a523bc5cbe176fe9099383b4ada3701aed2873d17d9d5e27d26cde

Observation 600e26db-3010-4292-a479-aac20771e5dd · outbound

This paper cites Scaling up to excellence: Practicing model scaling for photo-realistic image restoration in the wild.

Position: Agentic Systems Constitute a Key Component of Next-Generation Intelligent Image Processing Scaling up to excellence: Practicing model scaling for photo-realistic image restoration in the wild

Reference 62

Resolution
unresolved
no resolver link, observed 2026-08-07T15:11:16.492298Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:11:16.492298Z digest=sha256:310f132950e338fb5e5beb9ab51d57c94a704356baa9b995cdb264cd3340a0fd

Observation 072a3de5-2c67-4fdb-b8ef-8cc9b49f4413 · outbound

This paper cites Crafting a toolchain for image restoration by deep reinforcement learning.

Position: Agentic Systems Constitute a Key Component of Next-Generation Intelligent Image Processing Crafting a toolchain for image restoration by deep reinforcement learning

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:11:17.305589Z

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=2026-08-07T15:11:16.497786Z digest=sha256:4eff0664ae384964e7e713d0c9d8f1ae013a9d29bb22ba9876fd2d4aa4a47987

Observation e22957b2-53f1-47f2-b625-b2970c6bee52 · outbound

This paper cites Systematic image processing for diagnosing brain tumors: A type-ii fuzzy expert system approach.

Position: Agentic Systems Constitute a Key Component of Next-Generation Intelligent Image Processing Systematic image processing for diagnosing brain tumors: A type-ii fuzzy expert system approach

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:11:17.290175Z

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=2026-08-07T15:11:16.502299Z digest=sha256:4e31270565335aad4ba31b90c2887d82713b5f2946ae6943c74385bcb5c914bc

Observation 5cc20458-0003-424f-a853-00baa04a0cfd · outbound

This paper cites Beyond a gaussian denoiser: Residual learning of deep cnn for image denoising.

Position: Agentic Systems Constitute a Key Component of Next-Generation Intelligent Image Processing Beyond a gaussian denoiser: Residual learning of deep cnn for image denoising

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:11:17.274920Z

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=2026-08-07T15:11:16.507659Z digest=sha256:9793f6a1d0484d216fe0fea1df87196a500fc89eec01a402c9fda62e6f551fcd

Observation b827ea88-6910-453f-9dd7-7c45d20a1f78 · outbound

This paper cites Crafting training degradation distribution for the accuracy-generalization trade-off in real-world super-resolution.

Position: Agentic Systems Constitute a Key Component of Next-Generation Intelligent Image Processing Crafting training degradation distribution for the accuracy-generalization trade-off in real-world super-resolution

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:11:17.260577Z

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=2026-08-07T15:11:16.512245Z digest=sha256:6a655e573a287bb3aa38ff1998b06dcb4f934fb75b1592533c3274ef222ce142

Observation dd3fca9f-5c8a-4f93-b643-d82c5833d66b · outbound

This paper cites SEAL: A Framework for Systematic Evaluation of Real-World Super-Resolution.

Position: Agentic Systems Constitute a Key Component of Next-Generation Intelligent Image Processing SEAL: A Framework for Systematic Evaluation of Real-World Super-Resolution

Reference 67

Resolution
verified exact
local_arxiv, observed 2026-08-07T15:11:16.611421Z

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=2026-08-07T15:11:16.517510Z digest=sha256:0e63c2cf42a53bb6f931028450724d729cebe5052176cf32e95829f44aef6875

Observation 3a2b5ecd-1eed-4ffa-88ae-5eeaff4a1907 · outbound

This paper cites A closer look at blind super-resolution: Degradation models, baselines, and performance upper bounds.

Position: Agentic Systems Constitute a Key Component of Next-Generation Intelligent Image Processing A closer look at blind super-resolution: Degradation models, baselines, and performance upper bounds

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:11:17.244041Z

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=2026-08-07T15:11:16.522435Z digest=sha256:03a5ae47fe09d1de815cf13f0557f09510b892e06d55a42ea4c98fc503496c13

Observation d40cce02-aa26-4d84-a91e-4d94e7f72caa · outbound

This paper cites An Intelligent Agentic System for Complex Image Restoration Problems.

Position: Agentic Systems Constitute a Key Component of Next-Generation Intelligent Image Processing An Intelligent Agentic System for Complex Image Restoration Problems

Reference 69

Resolution
unresolved
no resolver link, observed 2026-08-07T15:11:16.527454Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:11:16.527454Z digest=sha256:fb6be6e92c76e9c49fab514a9eb833e1ab14f9876d7653be4413b0eebfde20e6

Observation 220632a2-30d8-42e3-a03b-cd364ef166e0 · outbound

This paper cites Ghost in the Minecraft: Generally Capable Agents for Open-World Environments via Large Language Models with Text-based Knowledge and Memory.

Position: Agentic Systems Constitute a Key Component of Next-Generation Intelligent Image Processing Ghost in the Minecraft: Generally Capable Agents for Open-World Environments via Large Language Models with Text-based Knowledge and Memory

Reference 70

Resolution
unresolved
no resolver link, observed 2026-08-07T15:11:16.532405Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:11:16.532405Z digest=sha256:14c94597fa0cba7127384badce0654665b00344ec299da3dd30921700cb972f0

Pith citing papers

No inbound Pith citation observations are available.