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Paper Citation Record · LEDGER

NSFlow: An End-to-End FPGA Framework with Scalable Dataflow Architecture for Neuro-Symbolic AI

As of 18 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 2 inbound Pith citation observations for arXiv:2504.19323.

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

pith.paper-citation-record.v1
2504.19323 v2

Coverage vector

measured 38 of 38 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T06:00:01.072171Z

measured 40 of 40 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-25T02:26:37.886265Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-25T02:30:14.878186Z

Reference resolution

38 of 38 outbound references displayed

  • verified exact1
  • verified fuzzy32
  • unresolved5
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation eb47c2b2-4f60-410e-ae08-efd71f773a74 · outbound

This paper cites The neuro- symbolic concept learner: Interpreting scenes, words, and sentences from natural supervision,.

NSFlow: An End-to-End FPGA Framework with Scalable Dataflow Architecture for Neuro-Symbolic AI The neuro- symbolic concept learner: Interpreting scenes, words, and sentences from natural supervision,

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T06:00:01.578778Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T06:00:00.911727Z digest=sha256:dd6b2aedf9d3830a3591d92f5d39445f5286ef7357284fd872905a191acab654

Observation f5c3f699-1120-4072-9d61-023ad28e74a4 · outbound

This paper cites Visual concept- metaconcept learning,.

NSFlow: An End-to-End FPGA Framework with Scalable Dataflow Architecture for Neuro-Symbolic AI Visual concept- metaconcept learning,

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T06:00:01.565194Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T06:00:00.916091Z digest=sha256:8717995332e4d053d4eb9bbb3d168d2ad315c0d2a4ef012d7535e32f54078c9f

Observation 50b71bc9-3f4f-4d84-b7d4-60cf577ceeca · outbound

This paper cites Falcon: fast visual concept learning by integrating images, linguistic descriptions, and conceptual relations,.

NSFlow: An End-to-End FPGA Framework with Scalable Dataflow Architecture for Neuro-Symbolic AI Falcon: fast visual concept learning by integrating images, linguistic descriptions, and conceptual relations,

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T06:00:01.552391Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T06:00:00.919844Z digest=sha256:5fbe7a61ce1f2ad82de1a1838f0201c548d258fae341421f0b8c5fdefa917496

Observation 465d8523-2681-4bb5-9d58-015eafa9e900 · outbound

This paper cites Clevrer: Collision events for video representation and reasoning,.

NSFlow: An End-to-End FPGA Framework with Scalable Dataflow Architecture for Neuro-Symbolic AI Clevrer: Collision events for video representation and reasoning,

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T06:00:01.538207Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T06:00:00.924052Z digest=sha256:b0775d366910859e170000e458e5cebf133857664a74b3e9346bb9c58ec98019

Observation 3ba56159-d6e6-4ee4-8eff-371393b6a8ca · outbound

This paper cites Abstract spatial-temporal reasoning via probabilistic abduction and execution,.

NSFlow: An End-to-End FPGA Framework with Scalable Dataflow Architecture for Neuro-Symbolic AI Abstract spatial-temporal reasoning via probabilistic abduction and execution,

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T06:00:01.524044Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T06:00:00.928266Z digest=sha256:1c153107e6cc0bbfb0657ae69b60a4c5e1a43cd98b1973d2b513737394791555

Observation e30bf1e6-a51a-4ab5-bda4-363ef3166434 · outbound

This paper cites Knowledge-based Analogical Reasoning in Neuro-symbolic Latent Spaces.

NSFlow: An End-to-End FPGA Framework with Scalable Dataflow Architecture for Neuro-Symbolic AI Knowledge-based Analogical Reasoning in Neuro-symbolic Latent Spaces

Reference 6

Resolution
verified exact
local_arxiv, observed 2026-08-16T06:00:01.137781Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T06:00:00.932748Z digest=sha256:edd26443b7018c001d055ccd1bda93173b0a5ae09f17610992f99b933a2c32c5

Observation 9388eef3-c94a-44ba-b508-fad16d7d3062 · outbound

This paper cites Solving olympiad geometry without human demonstrations,.

NSFlow: An End-to-End FPGA Framework with Scalable Dataflow Architecture for Neuro-Symbolic AI Solving olympiad geometry without human demonstrations,

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-16T06:00:00.938455Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T06:00:00.938455Z digest=sha256:8e0e365d747be8acd29978adc74fe1533c5b23ea539fccdc1744811ad72f62ab

Observation bd2d8044-e612-4eed-84d3-41e049b5d2e0 · outbound

This paper cites Special session: Neuro-symbolic architecture meets large language models: A memory-centric perspective,.

NSFlow: An End-to-End FPGA Framework with Scalable Dataflow Architecture for Neuro-Symbolic AI Special session: Neuro-symbolic architecture meets large language models: A memory-centric perspective,

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T06:00:01.504084Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T06:00:00.942523Z digest=sha256:380991b1ced9de54a5c5ff7c721dd7c126dc2ca0eb0e049eb899d385f73dfc70

Observation 61a8b4fa-5a9e-41ae-8e49-4327c42c0285 · outbound

This paper cites Towards cognitive ai systems: Workload and characterization of neuro-symbolic ai,.

NSFlow: An End-to-End FPGA Framework with Scalable Dataflow Architecture for Neuro-Symbolic AI Towards cognitive ai systems: Workload and characterization of neuro-symbolic ai,

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T06:00:01.491572Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T06:00:00.946885Z digest=sha256:98e877d628e4d908a4486eb19f7c43526fe701cbb1da1bd6d89bd04150ad584d

Observation 0af42d72-164a-44ce-bfb6-36e78bf9ff27 · outbound

This paper cites Thinking fast and slow in ai,.

NSFlow: An End-to-End FPGA Framework with Scalable Dataflow Architecture for Neuro-Symbolic AI Thinking fast and slow in ai,

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T06:00:01.478229Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T06:00:00.951264Z digest=sha256:2f0642dc7006a01ae5e118e65ed2de97d8e1081391f3da82bfd78fcd599e15de

Observation def92e89-6367-41e9-90ee-6d2229767e7e · outbound

This paper cites Towards learning abductive reasoning using vsa distributed representations,.

NSFlow: An End-to-End FPGA Framework with Scalable Dataflow Architecture for Neuro-Symbolic AI Towards learning abductive reasoning using vsa distributed representations,

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T06:00:01.464294Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T06:00:00.955813Z digest=sha256:89a7f3262af610c0605f91d85fb699a5ca69a4a0c4d35dbe6987d8e38af3ddd1

Observation 35abc6d1-d071-438a-b921-6b980c7e3f15 · outbound

This paper cites Probabilistic abduction for visual abstract reasoning via learning rules in vector-symbolic architectures,.

NSFlow: An End-to-End FPGA Framework with Scalable Dataflow Architecture for Neuro-Symbolic AI Probabilistic abduction for visual abstract reasoning via learning rules in vector-symbolic architectures,

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T06:00:01.451336Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T06:00:00.960426Z digest=sha256:b3355dbcb7419acc3afc2ebf390fee0d892e679a2eecc1d0adc69042c29046b5

Observation 42f69c0e-acb4-47e9-a6d3-be30831d0695 · outbound

This paper cites Neuro- symbolic approaches in artificial intelligence,.

NSFlow: An End-to-End FPGA Framework with Scalable Dataflow Architecture for Neuro-Symbolic AI Neuro- symbolic approaches in artificial intelligence,

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T06:00:01.438447Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T06:00:00.964690Z digest=sha256:1bca36a3d72a66a0b233d80681b34a998ff21ca5be9f26431c2bee7ad3f4a241

Observation 9516e933-7559-43bb-9507-a54185ed968a · outbound

This paper cites Is neuro-symbolic ai meeting its promises in natural language processing? a structured review,.

NSFlow: An End-to-End FPGA Framework with Scalable Dataflow Architecture for Neuro-Symbolic AI Is neuro-symbolic ai meeting its promises in natural language processing? a structured review,

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T06:00:01.424554Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T06:00:00.969054Z digest=sha256:3ce38b516483a91e9b1ae7d52e8dced1dd371fd5171b1fe550ac8eeba7b72dc0

Observation 718529a8-4c35-4cdd-af11-754d06144237 · outbound

This paper cites Towards efficient neuro-symbolic ai: From workload characterization to hardware architecture,.

NSFlow: An End-to-End FPGA Framework with Scalable Dataflow Architecture for Neuro-Symbolic AI Towards efficient neuro-symbolic ai: From workload characterization to hardware architecture,

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T06:00:01.410143Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T06:00:00.973047Z digest=sha256:a061a47e8205f8d1a911646103bb8d14d1b9e8a454ce77fea1c802bdd41cb71d

Observation 31a0f7b2-2671-40a5-a005-2fc34f241f88 · outbound

This paper cites H3dfact: Heterogeneous 3d integrated cim for factorization with holographic perceptual representations,.

NSFlow: An End-to-End FPGA Framework with Scalable Dataflow Architecture for Neuro-Symbolic AI H3dfact: Heterogeneous 3d integrated cim for factorization with holographic perceptual representations,

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T06:00:01.397037Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T06:00:00.977228Z digest=sha256:8fc3de9f417d484d00cb9e46881a48ee23a3127a4785d8bacc02dffb786904d3

Observation cac77250-942f-47a8-9b45-7e6ab0306c92 · outbound

This paper cites A neuro-vector-symbolic architecture for solving raven’s progressive matrices,.

NSFlow: An End-to-End FPGA Framework with Scalable Dataflow Architecture for Neuro-Symbolic AI A neuro-vector-symbolic architecture for solving raven’s progressive matrices,

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-16T06:00:00.982005Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T06:00:00.982005Z digest=sha256:cca7ffa6ed0c94826e394c7052b99832f73a2270ac83fd38711b8d941f58e902

Observation 0174992a-4958-4b4d-8c09-2536bd4b90e7 · outbound

This paper cites Towards Cognitive AI Systems: a Survey and Prospective on Neuro-Symbolic AI.

NSFlow: An End-to-End FPGA Framework with Scalable Dataflow Architecture for Neuro-Symbolic AI Towards Cognitive AI Systems: a Survey and Prospective on Neuro-Symbolic AI

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-16T06:00:00.986310Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T06:00:00.986310Z digest=sha256:0f639fe938d2745019779d6e96c94fa2c728b4c158c250041c087fbda9c5dbd0

Observation a16ad788-305d-43d0-95ee-5f4d06f5dd64 · outbound

This paper cites Autosa: A polyhedral compiler for high-performance systolic arrays on fpga,.

NSFlow: An End-to-End FPGA Framework with Scalable Dataflow Architecture for Neuro-Symbolic AI Autosa: A polyhedral compiler for high-performance systolic arrays on fpga,

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T06:00:01.376842Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T06:00:00.990671Z digest=sha256:5d8d17d72aefbb253b9ffe443c6746f7c948369c428ebbece7d14ffb0e1b3e88

Observation cf4144e9-439e-49f7-84f2-b447d3bce918 · outbound

This paper cites Automated systolic array architecture synthesis for high throughput cnn inference on fpgas,.

NSFlow: An End-to-End FPGA Framework with Scalable Dataflow Architecture for Neuro-Symbolic AI Automated systolic array architecture synthesis for high throughput cnn inference on fpgas,

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T06:00:01.364146Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T06:00:00.994763Z digest=sha256:fb1644f1b277396c9a2b556fe9b4ec3ed1cf80f1a886b0e3f2b4d0ee44fbc645

Observation c14f4f43-46f5-433a-bd44-e8b44dc14d19 · outbound

This paper cites A survey of fpga design for ai era,.

NSFlow: An End-to-End FPGA Framework with Scalable Dataflow Architecture for Neuro-Symbolic AI A survey of fpga design for ai era,

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T06:00:01.351577Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T06:00:00.998952Z digest=sha256:c760df1389b3d27ff09dfffa6517bbbe47dad63443791ef404284a647d398ff6

Observation 9c2cd836-c433-465e-87df-3dda4160931c · outbound

This paper cites Understanding the potential of fpga-based spatial acceleration for large language model inference,.

NSFlow: An End-to-End FPGA Framework with Scalable Dataflow Architecture for Neuro-Symbolic AI Understanding the potential of fpga-based spatial acceleration for large language model inference,

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T06:00:01.339190Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T06:00:01.002793Z digest=sha256:9334e98a61e3d9c29790e5e31c8fe52304279c9f82ee9045e998b0b2471a559f

Observation 0c59b8a3-27ad-4e1f-abbb-00bb37bb52b0 · outbound

This paper cites A comprehensive evaluation of fpga-based spatial acceler- ation of llms,.

NSFlow: An End-to-End FPGA Framework with Scalable Dataflow Architecture for Neuro-Symbolic AI A comprehensive evaluation of fpga-based spatial acceler- ation of llms,

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T06:00:01.327861Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T06:00:01.007994Z digest=sha256:480ced67da5c1671f6b40258df42ac35a1db5db5b8a588a848fda28898660ec0

Observation b3a3d340-54ed-4f85-aeae-5ece9dfe038b · outbound

This paper cites Flightllm: Efficient large language model inference with a complete mapping flow on fpgas,.

NSFlow: An End-to-End FPGA Framework with Scalable Dataflow Architecture for Neuro-Symbolic AI Flightllm: Efficient large language model inference with a complete mapping flow on fpgas,

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T06:00:01.316309Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T06:00:01.012916Z digest=sha256:9bfc4aaa6cbe53d3fdf34139c6b124b6e8779d32dcd16cfc7f8373c1774a7e31

Observation d165faf6-226a-4d31-b25b-8a4972758067 · outbound

This paper cites Fpga- based high-throughput cnn hardware accelerator with high computing resource utilization ratio,.

NSFlow: An End-to-End FPGA Framework with Scalable Dataflow Architecture for Neuro-Symbolic AI Fpga- based high-throughput cnn hardware accelerator with high computing resource utilization ratio,

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T06:00:01.303995Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T06:00:01.017563Z digest=sha256:9788520f6c31f08cedb5a9522030da39fa6073d63a6fa76019b04ce5d7d4696f

Observation 4e308f58-26ad-4bf9-8231-0333fcc8a79b · outbound

This paper cites A high throughput acceleration for hybrid neural networks with efficient resource management on fpga,.

NSFlow: An End-to-End FPGA Framework with Scalable Dataflow Architecture for Neuro-Symbolic AI A high throughput acceleration for hybrid neural networks with efficient resource management on fpga,

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T06:00:01.290780Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T06:00:01.022247Z digest=sha256:c13754cb63e63f143aefe1fe8ba5f815bf810a9aac59b778282cb116715bb1bc

Observation 87e47059-59b1-4264-b173-ec4081cd029a · outbound

This paper cites LlamaF: An Efficient Llama2 Architecture Accelerator on Embedded FPGAs.

NSFlow: An End-to-End FPGA Framework with Scalable Dataflow Architecture for Neuro-Symbolic AI LlamaF: An Efficient Llama2 Architecture Accelerator on Embedded FPGAs

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-16T06:00:01.026856Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T06:00:01.026856Z digest=sha256:41bf17253c3c35acd1338d07b58191d3da8ed0e4a6791738af94c40558b40bd2

Observation 33a9409b-d57f-4a4b-8ecd-2c1fc73f9edc · outbound

This paper cites Mimonets: Multiple-input-multiple-output neural networks exploiting computation in superposition,.

NSFlow: An End-to-End FPGA Framework with Scalable Dataflow Architecture for Neuro-Symbolic AI Mimonets: Multiple-input-multiple-output neural networks exploiting computation in superposition,

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T06:00:01.278373Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T06:00:01.031668Z digest=sha256:569575bfae746dcbb9d06bb1190d2e8a2e842dd009fc2f78a3b24882cabe05b8

Observation 1fb38b78-9c05-4f19-bf2d-d274bec3048c · outbound

This paper cites Cogsys: Efficient and scalable neurosymbolic cognition system via algorithm-hardware co-design,.

NSFlow: An End-to-End FPGA Framework with Scalable Dataflow Architecture for Neuro-Symbolic AI Cogsys: Efficient and scalable neurosymbolic cognition system via algorithm-hardware co-design,

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T06:00:01.266150Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T06:00:01.036038Z digest=sha256:33b351b2dbc31ddd16b45b8d75a3e3ebe1e29df12cb7d48057b79f69c7395333

Observation ba521d2b-fc3e-4ecc-ba00-90530960bd6a · outbound

This paper cites High density 8-bit multiplier systolic arrays for fpga,.

NSFlow: An End-to-End FPGA Framework with Scalable Dataflow Architecture for Neuro-Symbolic AI High density 8-bit multiplier systolic arrays for fpga,

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T06:00:01.252450Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T06:00:01.039935Z digest=sha256:3a928de7b58d6ce66822b5277fbf874bbef388a7b734e22911c2d305c937ee81

Observation ad56851f-69ad-4a9c-9ed2-80cf3eab8856 · outbound

This paper cites A systematic methodology for characterizing scalability of dnn accelerators using scale-sim,.

NSFlow: An End-to-End FPGA Framework with Scalable Dataflow Architecture for Neuro-Symbolic AI A systematic methodology for characterizing scalability of dnn accelerators using scale-sim,

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T06:00:01.238155Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T06:00:01.043926Z digest=sha256:b7297f79a712ac0aaaed3db45c0a3d91d0336d10aea557645cb5f757c44c10ed

Observation e0300db2-79a5-45a2-806d-9e9e021b9b8a · outbound

This paper cites Raven: A dataset for relational and analogical visual reasoning,.

NSFlow: An End-to-End FPGA Framework with Scalable Dataflow Architecture for Neuro-Symbolic AI Raven: A dataset for relational and analogical visual reasoning,

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T06:00:01.225116Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T06:00:01.047968Z digest=sha256:2202ec928389b149026ebc4186cf7ad07205a4da8ec70fba599ebb4428996379

Observation ac6e3276-a8ae-4db3-85cb-1d192ddf0ffc · outbound

This paper cites Stratified rule-aware network for abstract visual reasoning,.

NSFlow: An End-to-End FPGA Framework with Scalable Dataflow Architecture for Neuro-Symbolic AI Stratified rule-aware network for abstract visual reasoning,

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T06:00:01.212875Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T06:00:01.051985Z digest=sha256:9d234330461828feee2be433c4251d9121d8c9aa48034cff33593840161b615b

Observation d630ebfe-e20d-4ccf-87b6-2e9eaa424215 · outbound

This paper cites Measuring abstract reasoning in neural networks,.

NSFlow: An End-to-End FPGA Framework with Scalable Dataflow Architecture for Neuro-Symbolic AI Measuring abstract reasoning in neural networks,

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T06:00:01.198591Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T06:00:01.056027Z digest=sha256:0699b5db6ed5fd94b4675acea1358a6eaff861878acf28aa068d281913227fa8

Observation e2e2c044-bbe5-4539-8bed-c069a089e44f · outbound

This paper cites Gamma: Automating the hw mapping of dnn models on accelerators via genetic algorithm,.

NSFlow: An End-to-End FPGA Framework with Scalable Dataflow Architecture for Neuro-Symbolic AI Gamma: Automating the hw mapping of dnn models on accelerators via genetic algorithm,

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T06:00:01.186678Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T06:00:01.060124Z digest=sha256:9e52778f23637a343476ff8b2a3c769cfc01476035fff169b792f2bd966c01cb

Observation 4b27e620-69cf-49c0-8abd-adf284bf6181 · outbound

This paper cites Maestro: A data-centric approach to understand reuse, performance, and hardware cost of dnn mappings,.

NSFlow: An End-to-End FPGA Framework with Scalable Dataflow Architecture for Neuro-Symbolic AI Maestro: A data-centric approach to understand reuse, performance, and hardware cost of dnn mappings,

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-16T06:00:01.064112Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T06:00:01.064112Z digest=sha256:f8484e517ad7809ea86156e45c4bac11e868e567eb8b08948436b4db223b4445

Observation 6345d23c-06fd-40bf-b42b-216cb69bf7be · outbound

This paper cites A benchmark for compositional visual reasoning,.

NSFlow: An End-to-End FPGA Framework with Scalable Dataflow Architecture for Neuro-Symbolic AI A benchmark for compositional visual reasoning,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T06:00:01.164049Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T06:00:01.068292Z digest=sha256:c97886b474a59c7c7669ecb83852c33761dbc3d0d6d3ebe3c8d02cfb876bdddd

Observation 0d0a1f5b-5eca-4be7-8aeb-8f1079c6c337 · outbound

This paper cites Comparing machines and humans on a visual categorization test,.

NSFlow: An End-to-End FPGA Framework with Scalable Dataflow Architecture for Neuro-Symbolic AI Comparing machines and humans on a visual categorization test,

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T06:00:01.151371Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T06:00:01.072171Z digest=sha256:b924a37d01c97a96e9e19def93c640aa26fb6c6e3c6560a3f4d96cc19b21a59b

Pith citing papers

Observation d7e9000c-507f-4039-b289-98eda95fa7f5 · inbound

FILCO: Flexible Composing Architecture with Real-Time Reconfigurability for DNN Acceleration cites this paper.

FILCO: Flexible Composing Architecture with Real-Time Reconfigurability for DNN Acceleration NSFlow: An End-to-End FPGA Framework with Scalable Dataflow Architecture for Neuro-Symbolic AI

Reference 31

Resolution
verified exact
arxiv_id, observed 2026-05-11T06:55:58.932977Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-10T17:23:57.512298Z digest=sha256:0e01dce24d81e7583a767a807a28f7dab11a381cbd4d64e05774549288712687

Observation 64db5e3c-0b89-44e1-a697-b2fad1c5a52f · inbound

To Overlay or to Customize? Revisiting Architectural Choices in Heterogeneous Systems cites this paper.

To Overlay or to Customize? Revisiting Architectural Choices in Heterogeneous Systems NSFlow: An End-to-End FPGA Framework with Scalable Dataflow Architecture for Neuro-Symbolic AI

Reference 51

Resolution
verified exact
arxiv_id, observed 2026-05-25T02:30:14.880440Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-25T02:26:37.886265Z digest=sha256:1677b8a46e2c663595df0a90c825e92897a8c5007a5cd4a1ce251e8c58ab3d83