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Paper Citation Record · LEDGER

Dataset Construction for Training LLM to Learn Analog Circuit Knowledge

As of 15 August 2026, this Paper Citation Record lists 29 of 29 outbound references and 4 inbound Pith citation observations for arXiv:2508.10409.

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

pith.paper-citation-record.v1
2508.10409 v3

Coverage vector

measured 29 of 29 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T20:29:38.808044Z

measured 33 of 33 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T10:19:28.653936Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T20:31:14.145402Z

Reference resolution

29 of 29 outbound references displayed

  • verified exact4
  • verified fuzzy20
  • unresolved5
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 57a4a391-458a-4314-9160-3ac785e8be73 · outbound

This paper cites curveformer++:3d lane detection by curve propagation with temporal curve query and attention, 2025.

Dataset Construction for Training LLM to Learn Analog Circuit Knowledge curveformer++:3d lane detection by curve propagation with temporal curve query and attention, 2025

Reference 1

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verified fuzzy
raw_fallback, observed 2026-08-05T20:29:44.117746Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 5f7023e5-4fde-4585-b5c6-d127b834c2ff · outbound

This paper cites Persformer: 3d lane detection via perspective transformer and the openlane benchmark.

Dataset Construction for Training LLM to Learn Analog Circuit Knowledge Persformer: 3d lane detection via perspective transformer and the openlane benchmark

Reference 2

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raw_fallback, observed 2026-08-05T20:29:43.855750Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 31279e93-4975-425e-b882-d7a86841363b · outbound

This paper cites Pixel to elevation: Learning to predict elevation maps at long range using images for autonomous offroad navigation.

Dataset Construction for Training LLM to Learn Analog Circuit Knowledge Pixel to elevation: Learning to predict elevation maps at long range using images for autonomous offroad navigation

Reference 3

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raw_fallback, observed 2026-08-05T20:29:43.567439Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation e7ed7525-c2a6-431a-9986-ae4ea6dbd235 · outbound

This paper cites Towards cross-view-consistent self-supervised sur- round depth estimation.

Dataset Construction for Training LLM to Learn Analog Circuit Knowledge Towards cross-view-consistent self-supervised sur- round depth estimation

Reference 4

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verified fuzzy
raw_fallback, observed 2026-08-05T20:29:43.293306Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation dc5b77e1-3df6-4b74-9a3c-fe317f5cce1b · outbound

This paper cites 3d-lanenet: End-to-end 3d multiple lane detection.

Dataset Construction for Training LLM to Learn Analog Circuit Knowledge 3d-lanenet: End-to-end 3d multiple lane detection

Reference 5

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raw_fallback, observed 2026-08-05T20:29:43.037990Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T20:29:36.779360Z digest=sha256:2ebbf8ef83f809bbb76ff4d4fb11771c217b6b41bf4b443cc8d2ba5c4b6287be

Observation 2d0e44e4-ecef-4a8a-95af-4d9bb220f6b8 · outbound

This paper cites Bros- tow.

Dataset Construction for Training LLM to Learn Analog Circuit Knowledge Bros- tow

Reference 6

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raw_fallback, observed 2026-08-05T20:29:42.759669Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T20:29:36.851469Z digest=sha256:a0924cc71f6ed9e5e90618d29b5a83abf6a5785e13abcd0191f66b200de2705f

Observation d464df2e-a7be-4394-a2db-31546d0d3259 · outbound

This paper cites an unresolved cited work.

Dataset Construction for Training LLM to Learn Analog Circuit Knowledge Unresolved cited work

Reference 7

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raw_fallback, observed 2026-08-05T20:29:42.650258Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T20:29:36.932612Z digest=sha256:fd4a4601e12b2c783f74a4d5efa1ecddc4a64396068d56e5476cdbe801ad49ef

Observation 9a9579d1-aea4-468a-b249-a51fede2440d · outbound

This paper cites Gen-lanenet: A generalized and scalable approach for 3d lane detection.

Dataset Construction for Training LLM to Learn Analog Circuit Knowledge Gen-lanenet: A generalized and scalable approach for 3d lane detection

Reference 8

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raw_fallback, observed 2026-08-05T20:29:42.468096Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T20:29:37.027514Z digest=sha256:c80f2fe46de3169c7cd0f66ea9900f306ae7d5938765fc95b37df6973c1d4310

Observation 61934565-ef14-479b-878d-f88c7e35cd18 · outbound

This paper cites Deep residual learning for image recognition, 2015.

Dataset Construction for Training LLM to Learn Analog Circuit Knowledge Deep residual learning for image recognition, 2015

Reference 9

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no resolver link, observed 2026-08-05T20:29:37.097550Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T20:29:37.097550Z digest=sha256:2d1c81537d05e2aeac8d8201f93b795921cff4563b3217c2fc1edb1519f4cb55

Observation 3245773a-a843-46a2-8242-19f0a15f234f · outbound

This paper cites Enhancing Monocular Height Estimation from Aerial Images with Street-view Images.

Dataset Construction for Training LLM to Learn Analog Circuit Knowledge Enhancing Monocular Height Estimation from Aerial Images with Street-view Images

Reference 10

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no resolver link, observed 2026-08-05T20:29:37.198252Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T20:29:37.198252Z digest=sha256:56134d36461fc6684e3677637d2bf1003191025f4c41554186610f03f86c0965

Observation 449a0a52-d00a-4d21-a8e6-30259f73c7da · outbound

This paper cites DepthCrafter: Generating Consistent Long Depth Sequences for Open-world Videos.

Dataset Construction for Training LLM to Learn Analog Circuit Knowledge DepthCrafter: Generating Consistent Long Depth Sequences for Open-world Videos

Reference 11

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no resolver link, observed 2026-08-05T20:29:37.287177Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T20:29:37.287177Z digest=sha256:3f01fe62d8815938f3957d3840c96ab83d8cb9eeafab8ae2819fcb9c838ff058

Observation a3c6bdab-46d8-49dc-82b4-6bdf45c79132 · outbound

This paper cites Anchor3dlane: Learning to regress 3d anchors for monocular 3d lane detection.

Dataset Construction for Training LLM to Learn Analog Circuit Knowledge Anchor3dlane: Learning to regress 3d anchors for monocular 3d lane detection

Reference 12

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verified fuzzy
raw_fallback, observed 2026-08-05T20:29:42.182692Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T20:29:37.355683Z digest=sha256:2cb1dcb723b415a066773a32d3d7ad8eab335887c6fae95826c95c71f4cde702

Observation 64def8e3-1572-4e99-83b2-d31c25e196fb · outbound

This paper cites Video depth without video models, 2024.

Dataset Construction for Training LLM to Learn Analog Circuit Knowledge Video depth without video models, 2024

Reference 13

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verified fuzzy
raw_fallback, observed 2026-08-05T20:29:41.855896Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation b1f8486a-5211-42d7-b7c5-0a9a34f1b4c7 · outbound

This paper cites Repvf: A unified vector fields represen- tation for multi-task 3d perception.

Dataset Construction for Training LLM to Learn Analog Circuit Knowledge Repvf: A unified vector fields represen- tation for multi-task 3d perception

Reference 14

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verified fuzzy
raw_fallback, observed 2026-08-05T20:29:41.480906Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T20:29:37.518533Z digest=sha256:fc786679cc4fc9bbe8c31eb1d0cbeac0be595cf5b3f96afadd1d014b718781cd

Observation f66897f6-93e9-4708-91a1-2b8895927fc0 · outbound

This paper cites Height estimation from single aerial images using a deep ordinal regression net- work.

Dataset Construction for Training LLM to Learn Analog Circuit Knowledge Height estimation from single aerial images using a deep ordinal regression net- work

Reference 15

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raw_fallback, observed 2026-08-05T20:29:41.375670Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T20:29:37.576429Z digest=sha256:c5d11935bdc6725b490b3dd80caae720e81aa136b4ef8edc07f18ac2f3f48178

Observation d84d5940-38ee-49b1-8c0a-414a03c6d516 · outbound

This paper cites Petrv2: A unified framework for 3d perception from multi-camera images.

Dataset Construction for Training LLM to Learn Analog Circuit Knowledge Petrv2: A unified framework for 3d perception from multi-camera images

Reference 16

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raw_fallback, observed 2026-08-05T20:29:41.247156Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T20:29:37.635651Z digest=sha256:c6ac3eaa99efad12dd42f1d38ac344ca1ddfac6eb44bd93c9e14221603ba29f1

Observation b2d3afbe-11fa-4126-a4ce-e790b2c320c5 · outbound

This paper cites Latr: 3d lane detection from monocular images with transformer.

Dataset Construction for Training LLM to Learn Analog Circuit Knowledge Latr: 3d lane detection from monocular images with transformer

Reference 17

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raw_fallback, observed 2026-08-05T20:29:41.075923Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T20:29:37.709036Z digest=sha256:08a08ccfe295ef6c277cff6ffc081c996a789b2bada1262c9bc3c7cf207ddf10

Observation 97d568bb-fb5f-44e3-ab41-ce54b8836bc6 · outbound

This paper cites Gonzalez Bello, Byeongjun Kwon, and Minsu Kim.

Dataset Construction for Training LLM to Learn Analog Circuit Knowledge Gonzalez Bello, Byeongjun Kwon, and Minsu Kim

Reference 18

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raw_fallback, observed 2026-08-05T20:29:40.905340Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T20:29:37.827717Z digest=sha256:b809fd51b178fad8194c6855d9bd8e28716ecfee9c79b64701487c958b97ac5c

Observation 4b516c6d-f254-4e97-9e90-30c7025d7520 · outbound

This paper cites IM2HEIGHT: Height Estimation from Single Monocular Imagery via Fully Residual Convolutional-Deconvolutional Network.

Dataset Construction for Training LLM to Learn Analog Circuit Knowledge IM2HEIGHT: Height Estimation from Single Monocular Imagery via Fully Residual Convolutional-Deconvolutional Network

Reference 19

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verified exact
local_arxiv, observed 2026-08-05T20:29:39.605192Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 90fe3a0e-bb0c-47c5-b939-8688647d7f4e · outbound

This paper cites Heightlane: Bev heightmap guided 3d lane detection.

Dataset Construction for Training LLM to Learn Analog Circuit Knowledge Heightlane: Bev heightmap guided 3d lane detection

Reference 20

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raw_fallback, observed 2026-08-05T20:29:40.713402Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T20:29:37.983109Z digest=sha256:65ecc7d64de806d917c3230ace91ea36952809cab7d972649452b6d19fd6920b

Observation 5a4f2177-9a9e-4dc1-9e95-3499430499e0 · outbound

This paper cites Lanecpp: Continuous 3d lane detection using physical pri- ors.

Dataset Construction for Training LLM to Learn Analog Circuit Knowledge Lanecpp: Continuous 3d lane detection using physical pri- ors

Reference 21

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raw_fallback, observed 2026-08-05T20:29:40.568009Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T20:29:38.048225Z digest=sha256:f31945a0dde810182feca103bdaa701b5782660889d359e709d9d2b607da85fd

Observation fd1827c9-438d-43d3-af80-83a1036ce7f5 · outbound

This paper cites HeightMapNet: Explicit Height Modeling for End-to-End HD Map Learning.

Dataset Construction for Training LLM to Learn Analog Circuit Knowledge HeightMapNet: Explicit Height Modeling for End-to-End HD Map Learning

Reference 22

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verified exact
local_arxiv, observed 2026-08-05T20:29:39.398721Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T20:29:38.110726Z digest=sha256:abfa6eebc4e3d8e906858cbb0eccf3e560a2c6a0b8fd870a35428b9145a08a2d

Observation 3066f99e-e4c2-41bb-bc66-aa428116e8c8 · outbound

This paper cites Bev-lanedet: An efficient 3d lane detection based on virtual camera via key-points.

Dataset Construction for Training LLM to Learn Analog Circuit Knowledge Bev-lanedet: An efficient 3d lane detection based on virtual camera via key-points

Reference 23

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raw_fallback, observed 2026-08-05T20:29:40.412722Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T20:29:38.215537Z digest=sha256:fe8d368e924ad91f4938a7a971ad64fb4c7a4712ea4997b4fe28ec5a21fdacf5

Observation 8e2fe95d-ed02-4946-ab2d-cd7883ff0246 · outbound

This paper cites an unresolved cited work.

Dataset Construction for Training LLM to Learn Analog Circuit Knowledge Unresolved cited work

Reference 24

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unresolved
raw_fallback, observed 2026-08-05T20:29:40.251476Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T20:29:38.340282Z digest=sha256:ba02ba052a6c64d1c15b3454be9d163565eee00225aca92ab10df1ce438a6ca6

Observation 1ab42485-42bf-4e8c-afa5-bf11af2d1347 · outbound

This paper cites Real-time neural dense elevation mapping for urban terrain with uncertainty estimations.

Dataset Construction for Training LLM to Learn Analog Circuit Knowledge Real-time neural dense elevation mapping for urban terrain with uncertainty estimations

Reference 25

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verified fuzzy
raw_fallback, observed 2026-08-05T20:29:40.111569Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T20:29:38.428484Z digest=sha256:0e77a4545289530ea7a20c7279cb517ec7e1e4527dc5ded46b224c68263db85f

Observation a00abe24-8c77-4b78-a36d-ee50c9bbc115 · outbound

This paper cites Exploiting temporal consistency for real-time video depth estimation.

Dataset Construction for Training LLM to Learn Analog Circuit Knowledge Exploiting temporal consistency for real-time video depth estimation

Reference 26

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verified fuzzy
raw_fallback, observed 2026-08-05T20:29:39.942568Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T20:29:38.517945Z digest=sha256:5819cbbbd9e824c1856f1d72d77595742bc4467323f5f429b649d153f7b71b6f

Observation ce278270-a016-4ed3-b491-31b50f33ea11 · outbound

This paper cites TS-SatMVSNet: Slope Aware Height Estimation for Large-Scale Earth Terrain Multi-view Stereo.

Dataset Construction for Training LLM to Learn Analog Circuit Knowledge TS-SatMVSNet: Slope Aware Height Estimation for Large-Scale Earth Terrain Multi-view Stereo

Reference 28

Resolution
verified exact
local_arxiv, observed 2026-08-05T20:29:39.219610Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T20:29:38.648202Z digest=sha256:29e6fbbe0b5a3ef83368e4fae49cbbece242d570eb2532616619d56fffb85bfa

Observation 4b7b26f1-4980-460b-b158-01ca5fb3f6a7 · outbound

This paper cites Geometry-aware temporal aggregation network for monocular 3d lane detection.

Dataset Construction for Training LLM to Learn Analog Circuit Knowledge Geometry-aware temporal aggregation network for monocular 3d lane detection

Reference 29

Resolution
verified exact
raw_fallback, observed 2026-08-05T20:29:39.060008Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T20:29:38.725063Z digest=sha256:53f2c49632f48b54d5d39a75e0e5877d5ff1bb9af471fb592f6b19c1320b7e2b

Observation 956500af-c1e6-4ab9-b3e5-77960b81d6f1 · outbound

This paper cites Pvalane: prior-guided 3d lane detection with view- agnostic feature alignment.

Dataset Construction for Training LLM to Learn Analog Circuit Knowledge Pvalane: prior-guided 3d lane detection with view- agnostic feature alignment

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:29:39.825349Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T20:29:38.808044Z digest=sha256:ad1d5c7c42db3f86a1c427cefd325e75d86ff7eaad44aba43dc904ff361f23a3

Pith citing papers

Observation 914728cc-1cdb-42df-acfb-c22407b176f9 · inbound

AnalogRetriever: Learning Cross-Modal Representations for Analog Circuit Retrieval cites this paper.

AnalogRetriever: Learning Cross-Modal Representations for Analog Circuit Retrieval Dataset Construction for Training LLM to Learn Analog Circuit Knowledge

Reference 21

Resolution
verified exact
arxiv_id, observed 2026-07-01T02:17:16.486242Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-08T08:39:19.434878Z digest=sha256:757ff1030946c2a093d5ca4a08ea788c46c48154978cefd4f1b400e0793b44dc

Observation ff666f85-7eac-415f-a757-ddca6c0ae3f1 · inbound

Towards Reliable AI-Assisted Analog Design: Template-Constrained LLM Agents for SAR ADC Generation cites this paper.

Towards Reliable AI-Assisted Analog Design: Template-Constrained LLM Agents for SAR ADC Generation Dataset Construction for Training LLM to Learn Analog Circuit Knowledge

Reference 24

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unresolved
no resolver link, observed 2026-08-02T05:12:22.662176Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T05:12:22.662176Z digest=sha256:d509921f0dbc53d3b8d02e6b0f56184affc78d877dfcc794e538c807f0c3aa3f

Observation 9d59aac9-5308-4db5-8ede-aa969abd87d8 · inbound

RF-Agent: A Practical Framework for Building Language Agents for RFIC Design cites this paper.

RF-Agent: A Practical Framework for Building Language Agents for RFIC Design Dataset Construction for Training LLM to Learn Analog Circuit Knowledge

Reference 19

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no resolver link, observed 2026-08-01T14:27:14.130541Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T14:27:14.130541Z digest=sha256:f1517145ffbf27b6a345a74a76463da401e21e38c0159ab24886810b3d8d4abd

Observation 0b7b85f7-806b-4e39-9c3c-4eccac295f0c · inbound

AaLLM: An End-to-End Analog Circuit Design Framework from Topology Generation to Sizing Using Large Language Models cites this paper.

AaLLM: An End-to-End Analog Circuit Design Framework from Topology Generation to Sizing Using Large Language Models Dataset Construction for Training LLM to Learn Analog Circuit Knowledge

Reference 13

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unresolved
no resolver link, observed 2026-08-14T10:19:28.653936Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T10:19:28.653936Z digest=sha256:980ba638ab55edb8c24ce401aa945f6d320cb47245764217cd2d0babcc00e75d