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Paper Citation Record · LEDGER

Neural Architecture Search: Insights from 1000 Papers

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 33 inbound Pith citation observations for arXiv:2301.08727.

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

pith.paper-citation-record.v1
2301.08727 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 33 of 33 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 33 of 33 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T19:58:59.103617Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-07-04T14:59:55.775224Z

Reference resolution

0 of 0 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 076ebbfb-49be-4f32-a976-1ff5ca8b3487 · inbound

Universal Time-Series Representation Learning: A Survey cites this paper.

Universal Time-Series Representation Learning: A Survey Neural Architecture Search: Insights from 1000 Papers

Reference 207

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verified exact
arxiv_id, observed 2026-05-24T04:28:53.364169Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-24T04:26:45.527625Z digest=sha256:9f16e6eac016e15b95a047516650f22fdd5050423ff862e64001ec5096f1320d

Observation b4efe49e-fc5a-4859-96f5-933867bfa098 · inbound

On Efficient Variants of Segment Anything Model: A Survey cites this paper.

On Efficient Variants of Segment Anything Model: A Survey Neural Architecture Search: Insights from 1000 Papers

Reference 191

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verified exact
arxiv_id, observed 2026-05-23T19:43:23.584226Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-23T19:42:24.122342Z digest=sha256:9c44fef888d157c08a4fae6359effb440bce7f9cca466a37c3bee53ae2481892

Observation 8446f5c7-0f36-4dce-9f51-1ab422af3311 · inbound

Learning Model Successors cites this paper.

Learning Model Successors Neural Architecture Search: Insights from 1000 Papers

Reference 173

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no resolver link, observed 2026-08-09T19:58:59.103617Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T19:58:59.103617Z digest=sha256:075e25a3901ba9bd4a977b2d10a96fca9edf0b28280499b419e58e038017e997

Observation 8da3c183-b5e9-4357-bc8a-2bdb4177b1e1 · inbound

Efficient Global Neural Architecture Search cites this paper.

Efficient Global Neural Architecture Search Neural Architecture Search: Insights from 1000 Papers

Reference 27

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no resolver link, observed 2026-08-09T04:33:53.927966Z

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source=pdf_text observed=2026-08-09T04:33:53.927966Z digest=sha256:031b623ba2eecf087584bc216a84f8d8286051762346143028c9f27d2bfe67c9

Observation 853086e7-4690-4e35-9e2b-83e8722b5fa5 · inbound

CANeRV: Content Adaptive Neural Representation for Video Compression cites this paper.

CANeRV: Content Adaptive Neural Representation for Video Compression Neural Architecture Search: Insights from 1000 Papers

Reference 89

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no resolver link, observed 2026-08-08T16:34:49.391872Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T16:34:49.391872Z digest=sha256:0be2079e6f40cbd67fa6c16b02da35687121b6a5daa3b349959a07efef51e823

Observation eeef6c15-490f-421a-b1a3-7fd9e0024cff · inbound

Defending against Backdoor Attacks via Module Switching cites this paper.

Defending against Backdoor Attacks via Module Switching Neural Architecture Search: Insights from 1000 Papers

Reference 50

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verified exact
arxiv_id, observed 2026-05-22T20:32:04.760297Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-22T20:28:24.169272Z digest=sha256:f349922fe111f56122e2f563646bda3dae48a168a9532db13cab7a872faf91a5

Observation 491f19b3-3761-4cae-b1c7-46662785cfeb · inbound

Global optimization of graph acquisition functions for neural architecture search cites this paper.

Global optimization of graph acquisition functions for neural architecture search Neural Architecture Search: Insights from 1000 Papers

Reference 53

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no resolver link, observed 2026-08-07T12:48:09.162660Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-07T12:48:09.162660Z digest=sha256:532c544f35203dffb107e17e45601d4a98b30718ce2077777456d3b4a804aba0

Observation 73163f6d-8bc5-49c8-9990-44286b56e519 · inbound

Plug-in and Fine-tuning: Bridging the Gap between Small Language Models and Large Language Models cites this paper.

Plug-in and Fine-tuning: Bridging the Gap between Small Language Models and Large Language Models Neural Architecture Search: Insights from 1000 Papers

Reference 70

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no resolver link, observed 2026-08-07T05:40:24.558000Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:40:24.558000Z digest=sha256:3c00327fb3b744861cf05aacf2f5386bf1957e88257f16f77532133bf1a1584f

Observation 219dd8b3-06e0-4567-a42c-6f1217f7e20f · inbound

Energy-Efficient Deep Learning for Traffic Classification on Microcontrollers cites this paper.

Energy-Efficient Deep Learning for Traffic Classification on Microcontrollers Neural Architecture Search: Insights from 1000 Papers

Reference 10

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no resolver link, observed 2026-08-07T04:21:57.248302Z

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source=pdf_text observed=2026-08-07T04:21:57.248302Z digest=sha256:1831803a3f085de249726a4f4b0a4e35f0b07ba235c5729631f2c46da034dc64

Observation 9f9f85a8-aac7-4791-b206-ae39fb9d02b5 · inbound

Tuning without Peeking: Provable Generalization Bounds and Robust LLM Post-Training cites this paper.

Tuning without Peeking: Provable Generalization Bounds and Robust LLM Post-Training Neural Architecture Search: Insights from 1000 Papers

Reference 12

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no resolver link, observed 2026-08-06T20:54:44.632449Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:54:44.632449Z digest=sha256:97641208002e9253c6d97e801b59a51dbfaf852ce8416c78aa1565a43762dc2e

Observation 48e37d44-39d4-4ddd-a0cd-a560ef8e9a00 · inbound

confopt: A Library for Implementation and Evaluation of Gradient-based One-Shot NAS Methods cites this paper.

confopt: A Library for Implementation and Evaluation of Gradient-based One-Shot NAS Methods Neural Architecture Search: Insights from 1000 Papers

Reference 32

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no resolver link, observed 2026-08-06T15:12:06.562986Z

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source=arxiv_source observed=2026-08-06T15:12:06.562986Z digest=sha256:e15d1efa474a613cf7c0b0ee43d33163cafbbea608a2b3fd886b820b25b5772c

Observation e11e65bc-8779-4efd-b9f5-87a5a5dafa2a · inbound

LCS: An AI-based Low-Complexity Scaler for Power-Efficient Super-Resolution of Game Content cites this paper.

LCS: An AI-based Low-Complexity Scaler for Power-Efficient Super-Resolution of Game Content Neural Architecture Search: Insights from 1000 Papers

Reference 37

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no resolver link, observed 2026-08-06T11:15:36.049539Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T11:15:36.049539Z digest=sha256:38b730df262ee1b90551c94d1682480ca24e0cc87965788b87f3db08592ea38f

Observation bc123978-c11f-429b-b755-fa198fc568b0 · inbound

Coflex: Enhancing HW-NAS with Sparse Gaussian Processes for Efficient and Scalable DNN Accelerator Design cites this paper.

Coflex: Enhancing HW-NAS with Sparse Gaussian Processes for Efficient and Scalable DNN Accelerator Design Neural Architecture Search: Insights from 1000 Papers

Reference 2

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no resolver link, observed 2026-08-06T10:50:47.249033Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:50:47.249033Z digest=sha256:73f72727bdc7236b1f7b389a5e1fdf0c27d948e91f91d3e23d0fcb999634d369

Observation ccd98579-202d-47d3-96e8-485adccc93a1 · inbound

Spiking Neural Network Architecture Search: A Survey cites this paper.

Spiking Neural Network Architecture Search: A Survey Neural Architecture Search: Insights from 1000 Papers

Reference 173

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arxiv_id, observed 2026-05-18T07:01:01.391839Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-18T07:00:27.719109Z digest=sha256:0f28cbfc918f38e9c670abb2b275a1a57e832943e072474305babfc2b5438aa3

Observation 97d31398-4660-4311-a552-77776d5574a7 · inbound

Performance and Complexity Trade-off Optimization of Speech Models During Training cites this paper.

Performance and Complexity Trade-off Optimization of Speech Models During Training Neural Architecture Search: Insights from 1000 Papers

Reference 27

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no resolver link, observed 2026-08-03T09:35:41.183332Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T09:35:41.183332Z digest=sha256:9c6cb484204786cf563c3176e9e1648fc94e9dadd8090d3be49950fd2841ce14

Observation 769be383-fa31-4fe1-be55-55d476729530 · inbound

Self-Directed Task Identification cites this paper.

Self-Directed Task Identification Neural Architecture Search: Insights from 1000 Papers

Reference 5

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verified exact
arxiv_id, observed 2026-05-13T21:43:19.024016Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-13T21:40:16.017679Z digest=sha256:85412f82e0fd635041494f98758d89130e9123fa61537eb5fb6e5332550f6384

Observation 1ff8a3b2-a1f3-492e-8214-af337ae76cba · inbound

Evolving Many Worlds: Towards Open-Ended Discovery in Petri Dish NCA via Population-Based Training cites this paper.

Evolving Many Worlds: Towards Open-Ended Discovery in Petri Dish NCA via Population-Based Training Neural Architecture Search: Insights from 1000 Papers

Reference 6

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verified exact
arxiv_id, observed 2026-05-11T10:46:05.825878Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T15:18:55.626795Z digest=sha256:a0bea9ac64ce6198da376e5104a36ecd1358543488c48d263cbc570cf59b4d62

Observation 44cdb1be-0ce2-4174-a0da-c18db22a32cf · inbound

Delta-Based Neural Architecture Search: LLM Fine-Tuning via Code Diffs cites this paper.

Delta-Based Neural Architecture Search: LLM Fine-Tuning via Code Diffs Neural Architecture Search: Insights from 1000 Papers

Reference 51

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arxiv_id, observed 2026-05-11T18:11:06.458016Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-08T16:28:40.262681Z digest=sha256:4224cb7e075ebb953a55a0aad327c23b3a32a09c19d57c33cb25f26c63354b44

Observation 0f48b454-44d8-4b46-a057-aafa778f1448 · inbound

Zero-Shot Neural Network Evaluation with Sample-Wise Activation Patterns cites this paper.

Zero-Shot Neural Network Evaluation with Sample-Wise Activation Patterns Neural Architecture Search: Insights from 1000 Papers

Reference 12

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arxiv_id, observed 2026-05-11T04:00:55.825017Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-11T02:02:05.100401Z digest=sha256:c2459bcd247af67bbd8588b575d22c04aa276dc56255f985455b61a52044a2c0

Observation e793d6c9-d4c6-47ca-ac46-2e5de0d4520d · inbound

OPT-BENCH: Evaluating the Iterative Self-Optimization of LLM Agents in Large-Scale Search Spaces cites this paper.

OPT-BENCH: Evaluating the Iterative Self-Optimization of LLM Agents in Large-Scale Search Spaces Neural Architecture Search: Insights from 1000 Papers

Reference 35

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arxiv_id, observed 2026-05-12T03:01:18.648902Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-12T02:57:15.521594Z digest=sha256:f329a6ade7e193187599e3a5156728a86dd1977e42760c7ab5a29541592c1ced

Observation abdf7043-b0e8-4213-8a6f-01541a137c98 · inbound

From Regression to Inference: Meta-Learning Predictors for Neural Architecture Search cites this paper.

From Regression to Inference: Meta-Learning Predictors for Neural Architecture Search Neural Architecture Search: Insights from 1000 Papers

Reference 35

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arxiv_id, observed 2026-05-12T06:46:37.577294Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-12T04:00:02.801588Z digest=sha256:384e69a8e3dce04ea3554d5adb65e6a0387806d73302e4a8d17eb117c4141dfd

Observation e1b4ff5d-deba-4c15-9711-0a815a7b4dfd · inbound

Q-PhotoNAS: Hybrid Quantum Neural Architecture Search Framework on Photonic Devices cites this paper.

Q-PhotoNAS: Hybrid Quantum Neural Architecture Search Framework on Photonic Devices Neural Architecture Search: Insights from 1000 Papers

Reference 16

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arxiv_id, observed 2026-05-22T06:01:09.187004Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-22T05:56:35.027295Z digest=sha256:d2f5a90bff1a04d122c44ea62ef7b72f48b87355259ec87a23a25fec3a1374f5

Observation ad0cdfa6-17ae-4027-9d45-ba2d72b8f67d · inbound

Q-PhotoNAS: Hybrid Quantum Neural Architecture Search Framework on Photonic Devices cites this paper.

Q-PhotoNAS: Hybrid Quantum Neural Architecture Search Framework on Photonic Devices Neural Architecture Search: Insights from 1000 Papers

Reference 16

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no resolver link, observed 2026-08-02T13:31:25.732333Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T13:31:25.732333Z digest=sha256:80afba31784408a4b39082998c968e3cdb1f21765c0e379acb0bc0262248fdb7

Observation 817b896b-1f36-4ace-aab2-e152da08ff06 · inbound

Convergence Theory for Iterative LLM-Based Neural Architecture Search: A Parametric Cross-Entropy Framework with Closed-Form Proxy Reliability cites this paper.

Convergence Theory for Iterative LLM-Based Neural Architecture Search: A Parametric Cross-Entropy Framework with Closed-Form Proxy Reliability Neural Architecture Search: Insights from 1000 Papers

Reference 6

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arxiv_id, observed 2026-06-29T09:03:16.057642Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-29T08:56:19.606663Z digest=sha256:0388496291a9c404065ceaa2b44dac2e0674f02aafe5e1a9d0e39d4bf6040729

Observation 36fb8b88-a8d6-429e-85cd-ef651634bfa7 · inbound

Running hardware-aware neural architecture search on embedded devices under 512MB of RAM cites this paper.

Running hardware-aware neural architecture search on embedded devices under 512MB of RAM Neural Architecture Search: Insights from 1000 Papers

Reference 19

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arxiv_id, observed 2026-07-03T16:58:42.988611Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-06-27T04:49:31.313921Z digest=sha256:238771e028919fba437423bc42543ba80648d617e1d01e429fea40868c8ce271

Observation 3917306e-4528-47b3-91a8-d577561672fd · inbound

Neural Architecture Search for Generative Adversarial Networks: A Comprehensive Review and Critical Analysis cites this paper.

Neural Architecture Search for Generative Adversarial Networks: A Comprehensive Review and Critical Analysis Neural Architecture Search: Insights from 1000 Papers

Reference 19

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arxiv_id, observed 2026-07-04T14:59:55.777018Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-26T01:59:09.843208Z digest=sha256:3c3a9e1b50e955489e2c90c86aae87940b9d8b04f9b57bc87dd0c3ae904a3da0

Observation adef0c1f-6165-4328-b70e-8ee7d5ff3592 · inbound

Can Transformers Really Do It All? On the Compatibility of Inductive Biases Across Tasks cites this paper.

Can Transformers Really Do It All? On the Compatibility of Inductive Biases Across Tasks Neural Architecture Search: Insights from 1000 Papers

Reference 47

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no resolver link, observed 2026-08-01T17:31:50.414696Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T17:31:50.414696Z digest=sha256:9776c596a7deb5e0b238643578d0bbebc9f1a47d9bd4c9377bab0e7d88d59262

Observation 4cbfa527-c20e-4405-8fd0-656a41e9d520 · inbound

Examining the Efficacy of Graph Neural Network Message-Passing in Regression Contexts cites this paper.

Examining the Efficacy of Graph Neural Network Message-Passing in Regression Contexts Neural Architecture Search: Insights from 1000 Papers

Reference 298

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no resolver link, observed 2026-08-01T16:42:38.629395Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T16:42:38.629395Z digest=sha256:84d34df5d7a3c56ac0886e6e361d7af49849f8a457ecb1702488d7529b042fe6

Observation f0117918-a519-44d1-ae1d-0cedbfe38156 · inbound

Neural Architecture Search for Traffic Prediction: A Survey of Methods, Challenges, and Future Directions cites this paper.

Neural Architecture Search for Traffic Prediction: A Survey of Methods, Challenges, and Future Directions Neural Architecture Search: Insights from 1000 Papers

Reference 22

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no resolver link, observed 2026-08-01T15:17:42.114531Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T15:17:42.114531Z digest=sha256:6ce000f1a386380b208a7ab6e017a253406c5588301f7dd0ad6dbbb1bc734e0d

Observation 31449dda-d39a-46d5-b32e-a85bc33eebba · inbound

LEMUR: Learning to Align with Multi-Objective Reinforcement Learning from Preference Feedback cites this paper.

LEMUR: Learning to Align with Multi-Objective Reinforcement Learning from Preference Feedback Neural Architecture Search: Insights from 1000 Papers

Reference 57

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no resolver link, observed 2026-08-03T04:39:30.797264Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T04:39:30.797264Z digest=sha256:df89986a00539c744f94e526f18ec4ed120283f697bfa9a7a7d4bfdadfe4920d

Observation 5e8ea355-b0f8-4e31-be82-98d21f8c7711 · inbound

ST-LoRA: Single Trajectory LoRA Ensemble for Uncertainty Aware Agricultural Segmentation cites this paper.

ST-LoRA: Single Trajectory LoRA Ensemble for Uncertainty Aware Agricultural Segmentation Neural Architecture Search: Insights from 1000 Papers

Reference 193

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no resolver link, observed 2026-08-06T00:10:40.110708Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T00:10:40.110708Z digest=sha256:11d8d4f0a069bdd8e31b404a98b40163e3cd45e19f64774e96777792fa177f97

Observation 8de5b03d-cdb0-4835-bdf3-cd697f2ff3ad · inbound

GraphIR: Architecture-Level Search States for LLM-Guided Neural Architecture Evolution cites this paper.

GraphIR: Architecture-Level Search States for LLM-Guided Neural Architecture Evolution Neural Architecture Search: Insights from 1000 Papers

Reference 29

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no resolver link, observed 2026-08-04T23:56:32.440456Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T23:56:32.440456Z digest=sha256:0d71dfde6ecec789b680ab3641d89928f02efbb3dfd01acdd9c2df969938fb33

Observation a91356a7-f5b8-4442-bbd9-15f8c420b09d · inbound

Self-Supervised Representation-Guided Generative Dataset Distillation cites this paper.

Self-Supervised Representation-Guided Generative Dataset Distillation Neural Architecture Search: Insights from 1000 Papers

Reference 32

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no resolver link, observed 2026-08-05T23:21:21.678263Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T23:21:21.678263Z digest=sha256:1ecf2cf24e54c03a841e7e686210ce97e963c4ca42b21d91358677e3d5efd47b