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Paper Citation Record · LEDGER

PhenoAssistant: A Conversational Multi-Agent AI System for Automated Plant Phenotyping

As of 17 August 2026, this Paper Citation Record lists 34 of 34 outbound references and 1 inbound Pith citation observation for arXiv:2504.19818.

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

pith.paper-citation-record.v1
2504.19818 v1

Coverage vector

measured 34 of 34 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T05:46:00.536050Z

measured 35 of 35 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T15:52:16.442122Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T15:52:16.621051Z

Reference resolution

34 of 34 outbound references displayed

  • verified exact1
  • verified fuzzy11
  • unresolved22
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 6a0e0c73-3477-4bff-9279-5306599b8fbd · outbound

This paper cites & Schurr, U.

PhenoAssistant: A Conversational Multi-Agent AI System for Automated Plant Phenotyping & Schurr, U

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:46:01.220880Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T05:46:00.359394Z digest=sha256:67bc875c763a1fff058442b357914ffedb4293d653e7cb9a32268491ea1ef44c

Observation 5c76a804-72a8-4934-99f7-f6ac6c1773cb · outbound

This paper cites Population.

PhenoAssistant: A Conversational Multi-Agent AI System for Automated Plant Phenotyping Population

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:46:01.203832Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T05:46:00.365738Z digest=sha256:24cd035ded91df5510c7dd943d72cb738f6e81354d17182b4e95722e1ff213f7

Observation 9f1001b3-ce3e-494f-a045-780e6581fdb4 · outbound

This paper cites & Ramankutty, N.

PhenoAssistant: A Conversational Multi-Agent AI System for Automated Plant Phenotyping & Ramankutty, N

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-16T05:46:00.371818Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:46:00.371818Z digest=sha256:83441157812debced6f9260f3ca5dd31e53542d34cf41c429eb04feb6f21636b

Observation 791db47c-c0df-4d07-a891-35464cc803f8 · outbound

This paper cites M., Ludwig, E., Gutierrez, J.

PhenoAssistant: A Conversational Multi-Agent AI System for Automated Plant Phenotyping M., Ludwig, E., Gutierrez, J

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:46:01.174152Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T05:46:00.377242Z digest=sha256:07c204b0c0eab1ae9ff630eb4a9d99094276549c4ebdfbf09f326a2852b71b82

Observation acd568da-3f7c-498d-abc7-c400db85faff · outbound

This paper cites & Dhondt, S.

PhenoAssistant: A Conversational Multi-Agent AI System for Automated Plant Phenotyping & Dhondt, S

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:46:01.154747Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T05:46:00.383387Z digest=sha256:445a0964f2be0e25a5f7d916d74268c912d84c32838d81002ef3f29a3724c017

Observation 8a2f2569-c683-44c6-9948-3d5e65a1cb4e · outbound

This paper cites GPT-4 Technical Report.

PhenoAssistant: A Conversational Multi-Agent AI System for Automated Plant Phenotyping GPT-4 Technical Report

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-16T05:46:00.388805Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:46:00.388805Z digest=sha256:d4f1faaad77c78c35b1dc4a5d39e05fb9e8514f7a61d0c600c942416b5cecdf7

Observation 23e0b03f-ae6f-408e-8dc4-38345d94a740 · outbound

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

PhenoAssistant: A Conversational Multi-Agent AI System for Automated Plant Phenotyping LLaMA: Open and Efficient Foundation Language Models

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-16T05:46:00.395037Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:46:00.395037Z digest=sha256:377a043016ad00695205a69179c1015f08900ce56b2aa001e573d314fa1c5ab4

Observation 9ace0d3c-0594-4f3c-9731-33617204b115 · outbound

This paper cites Tag-LLM: Repurposing General-Purpose LLMs for Specialized Domains.

PhenoAssistant: A Conversational Multi-Agent AI System for Automated Plant Phenotyping Tag-LLM: Repurposing General-Purpose LLMs for Specialized Domains

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-16T05:46:00.401578Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:46:00.401578Z digest=sha256:b4eab8b0a7d128da72d9234082ea0caf4f81c75a579a0ca777a59ed5194c815e

Observation a749edb0-0816-46d6-8759-a9651dc921eb · outbound

This paper cites & Peterka, T.

PhenoAssistant: A Conversational Multi-Agent AI System for Automated Plant Phenotyping & Peterka, T

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-16T05:46:00.407106Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:46:00.407106Z digest=sha256:2a84bf7e345bad052e4b1aa4b9f7c2f88cbe0d9f7924a74de7288ff43d37f490

Observation 37540b94-15d1-459f-9115-e982737ae61d · outbound

This paper cites an unresolved cited work.

PhenoAssistant: A Conversational Multi-Agent AI System for Automated Plant Phenotyping Unresolved cited work

Reference 10

Resolution
unresolved
raw_fallback, observed 2026-08-16T05:46:01.135852Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T05:46:00.412099Z digest=sha256:c77ed9e2706c67e27c3e0099b0868d290980f3373dc55056a9e6f42885a4416a

Observation 381c0023-564b-4bda-a3c7-ca339812458f · outbound

This paper cites A., MacKnight, R., Kline, B.

PhenoAssistant: A Conversational Multi-Agent AI System for Automated Plant Phenotyping A., MacKnight, R., Kline, B

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-16T05:46:00.418838Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:46:00.418838Z digest=sha256:2f990361aec7b1fedbed2ff66f460c0825a8373c866fc044bf33c9a058538d60

Observation 160d1bf7-4b7d-49a4-981b-0b4bd3a2b353 · outbound

This paper cites & Kim, J.

PhenoAssistant: A Conversational Multi-Agent AI System for Automated Plant Phenotyping & Kim, J

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:46:01.100020Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T05:46:00.424442Z digest=sha256:dc0cc0d9f71e36e9efa4b17a1f5a95b8b6664b8f7a5dabf3d1ad7f94f114380f

Observation 4e5e8e9e-1e84-4b52-a4a9-71d4f0dc05cb · outbound

This paper cites AtomAgents: Alloy design and discovery through physics-aware multi-modal multi-agent artificial intelligence.

PhenoAssistant: A Conversational Multi-Agent AI System for Automated Plant Phenotyping AtomAgents: Alloy design and discovery through physics-aware multi-modal multi-agent artificial intelligence

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-16T05:46:00.429672Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:46:00.429672Z digest=sha256:4fa04c68d8ecbbf8a1f37e17c7e29f678fa11010ba9884ea0cfe95b4ec3e64c2

Observation e887fa2e-f509-42b9-8ad4-fbd1bd54ea5e · outbound

This paper cites & Ouyang, W.

PhenoAssistant: A Conversational Multi-Agent AI System for Automated Plant Phenotyping & Ouyang, W

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:46:01.080439Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T05:46:00.435815Z digest=sha256:1d8f51a4d34463643c92b20f2b4d7f5acc52b8514400a829296add9c5b7c48a3

Observation d5e0826f-5e30-4659-b1da-7f5ac6c174a9 · outbound

This paper cites an unresolved cited work.

PhenoAssistant: A Conversational Multi-Agent AI System for Automated Plant Phenotyping Unresolved cited work

Reference 15

Resolution
unresolved
raw_fallback, observed 2026-08-16T05:46:01.060323Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T05:46:00.440331Z digest=sha256:4ee7a4998602f3ef7e376af6933bb1b75f812f719770b434bb1d19afbb7e0675

Observation 7983ac9f-efdb-467a-b287-2b8a375299c6 · outbound

This paper cites PLLaMa: An Open-source Large Language Model for Plant Science.

PhenoAssistant: A Conversational Multi-Agent AI System for Automated Plant Phenotyping PLLaMa: An Open-source Large Language Model for Plant Science

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-16T05:46:00.445735Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:46:00.445735Z digest=sha256:80e31302ad05eb6925bfab5b27c74b1aa176e24a11eac1ea92bcc18bf7cf66bc

Observation 22bad680-8a1f-498c-a4f0-ca5f07e2dc4c · outbound

This paper cites Leveraging Vision Language Models for Specialized Agricultural Tasks.

PhenoAssistant: A Conversational Multi-Agent AI System for Automated Plant Phenotyping Leveraging Vision Language Models for Specialized Agricultural Tasks

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-16T05:46:00.451369Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:46:00.451369Z digest=sha256:73adeb6b6f249adcd0469a4c579265b88d68b53a344f227a251695189d76118e

Observation 8671040e-001e-4d14-8766-cd8d5e4cb61d · outbound

This paper cites an unresolved cited work.

PhenoAssistant: A Conversational Multi-Agent AI System for Automated Plant Phenotyping Unresolved cited work

Reference 18

Resolution
unresolved
raw_fallback, observed 2026-08-16T05:46:01.041421Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T05:46:00.456949Z digest=sha256:34f620e2d4888ee3e2436fb4be3a4aa099b7ffffe99f952d0f2e8b31577a18b3

Observation 381821ab-ed4f-4b48-afe5-536543722885 · outbound

This paper cites an unresolved cited work.

PhenoAssistant: A Conversational Multi-Agent AI System for Automated Plant Phenotyping Unresolved cited work

Reference 19

Resolution
unresolved
raw_fallback, observed 2026-08-16T05:46:01.023159Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T05:46:00.463009Z digest=sha256:cf84a30fd9c9fce4b3a4feb3faac12aa44cc74d02a1076d5f19e7c7129d3e4d3

Observation 5a41323d-294d-4fd7-a0a8-08e3d627e25b · outbound

This paper cites an unresolved cited work.

PhenoAssistant: A Conversational Multi-Agent AI System for Automated Plant Phenotyping Unresolved cited work

Reference 20

Resolution
unresolved
raw_fallback, observed 2026-08-16T05:46:01.005995Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T05:46:00.468962Z digest=sha256:d216552768e92d2015e51663e06c9b3fe5f480f3faf141ffb985d0e4a22762ae

Observation 0fa4bb9f-f385-4fb0-9fe8-0e91ed697645 · outbound

This paper cites Gemini: A Family of Highly Capable Multimodal Models.

PhenoAssistant: A Conversational Multi-Agent AI System for Automated Plant Phenotyping Gemini: A Family of Highly Capable Multimodal Models

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-16T05:46:00.473652Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:46:00.473652Z digest=sha256:897e58f2736bb6eae89e4206b1433a892174b046f613904233e1ea8d0a0c3df1

Observation ed57f54d-103d-4cff-b8d7-d70ba1c825b5 · outbound

This paper cites & Lee, Y.

PhenoAssistant: A Conversational Multi-Agent AI System for Automated Plant Phenotyping & Lee, Y

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:46:00.988216Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T05:46:00.478620Z digest=sha256:257d80c5712c7399f7ab4e0b4896efbfe24c2adaa7f5ce99d7f41b10b2f17a3b

Observation fe20221b-ca34-4e9e-bc67-842c90122c77 · outbound

This paper cites V., Perata, P.

PhenoAssistant: A Conversational Multi-Agent AI System for Automated Plant Phenotyping V., Perata, P

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:46:00.967599Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T05:46:00.483271Z digest=sha256:69268c7ab0eecda2b47df705e0e040be05ae639fe719a05d1cff81eacc3a6a76

Observation 068a7406-82d7-4974-b936-30071fc64682 · outbound

This paper cites & Britten, A.

PhenoAssistant: A Conversational Multi-Agent AI System for Automated Plant Phenotyping & Britten, A

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:46:00.947882Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T05:46:00.488152Z digest=sha256:ad2180dc9f08dd578362ceb3375ce6374aba93327c30e9f182ce2cc202a43bd9

Observation 9f18af9c-c66f-410d-a5d2-15ce008e4e74 · outbound

This paper cites an unresolved cited work.

PhenoAssistant: A Conversational Multi-Agent AI System for Automated Plant Phenotyping Unresolved cited work

Reference 25

Resolution
unresolved
raw_fallback, observed 2026-08-16T05:46:00.928839Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T05:46:00.493064Z digest=sha256:232a369bdc2fcab9ee485ac9e64903c961d653aeddc3baf9782f0c6a6e4e5ad0

Observation 32ec75b5-1c53-4afe-add9-d34dbc872671 · outbound

This paper cites an unresolved cited work.

PhenoAssistant: A Conversational Multi-Agent AI System for Automated Plant Phenotyping Unresolved cited work

Reference 26

Resolution
unresolved
raw_fallback, observed 2026-08-16T05:46:00.910167Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T05:46:00.497828Z digest=sha256:f4d3332e2144b7c09f11f63c5c1c3915c48fe3626574526c9ea5b4e0953435bc

Observation b3c2be58-5631-4078-9f8a-44c4b06d216a · outbound

This paper cites DeepSeek LLM: Scaling Open-Source Language Models with Longtermism.

PhenoAssistant: A Conversational Multi-Agent AI System for Automated Plant Phenotyping DeepSeek LLM: Scaling Open-Source Language Models with Longtermism

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-16T05:46:00.502594Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:46:00.502594Z digest=sha256:f1fbe714fba3b548908d28f2aacad09af0b7b577845bf6e60218188cf8b41ed8

Observation b33f3b79-7a42-4f76-8c0b-f4046aed735e · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

PhenoAssistant: A Conversational Multi-Agent AI System for Automated Plant Phenotyping DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-16T05:46:00.507735Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:46:00.507735Z digest=sha256:3ce910028624fd922f7592b2c32b3fde23960254e5ffa779c406c2898bbc2c98

Observation 103a55a2-9d7d-4039-8feb-e83a0200f968 · outbound

This paper cites G., Kirillov, A.

PhenoAssistant: A Conversational Multi-Agent AI System for Automated Plant Phenotyping G., Kirillov, A

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:46:00.893596Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T05:46:00.512252Z digest=sha256:1e5fe3aeb47003ab5815b6ee489e80612035fa4610f5c7cef66679e5716e90df

Observation 4560f1e6-5486-4271-890d-7fd1f2ce19b5 · outbound

This paper cites GMT: Guided Mask Transformer for Leaf Instance Segmentation.

PhenoAssistant: A Conversational Multi-Agent AI System for Automated Plant Phenotyping GMT: Guided Mask Transformer for Leaf Instance Segmentation

Reference 30

Resolution
verified exact
local_arxiv, observed 2026-08-16T05:46:00.599448Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T05:46:00.516984Z digest=sha256:2d039763ebe59b67564912935cad434723632087be5e1093e5c713d3e93b49c7

Observation 7d4aa4df-16db-452e-937a-3b3df714f641 · outbound

This paper cites & Tsaftaris, S.

PhenoAssistant: A Conversational Multi-Agent AI System for Automated Plant Phenotyping & Tsaftaris, S

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:46:00.875850Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T05:46:00.521914Z digest=sha256:57dd865e18f104ec8faf57659b09a2085d8f70ac19be970bf83786ad2b322585

Observation 7a43e738-2b96-4f6a-a07b-49805c2aac1b · outbound

This paper cites an unresolved cited work.

PhenoAssistant: A Conversational Multi-Agent AI System for Automated Plant Phenotyping Unresolved cited work

Reference 32

Resolution
unresolved
raw_fallback, observed 2026-08-16T05:46:00.855724Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T05:46:00.526780Z digest=sha256:2d1e44012c3ee3958894fffd08bef3e5cccd6af4fcbdf4313cdfd8c7a7960664

Observation a50fb631-43e4-4ee9-9f7a-c75fab99aa5c · outbound

This paper cites DINOv2: Learning Robust Visual Features without Supervision.

PhenoAssistant: A Conversational Multi-Agent AI System for Automated Plant Phenotyping DINOv2: Learning Robust Visual Features without Supervision

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-16T05:46:00.531256Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:46:00.531256Z digest=sha256:ef667ae891ef37b488a0a4698149e050c75e41bf96612ddc4483a2f6637c1d48

Observation 9194f5dc-6d60-4291-aea2-9e5d433ad0cb · outbound

This paper cites an unresolved cited work.

PhenoAssistant: A Conversational Multi-Agent AI System for Automated Plant Phenotyping Unresolved cited work

Reference 34

Resolution
unresolved
raw_fallback, observed 2026-08-16T05:46:00.839752Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T05:46:00.536050Z digest=sha256:9ecf198e8cb7fc5aeed09c9164e3aa2f658bbeb6e683a70cc5ea31c654c1e246

Pith citing papers

Observation 3419a0f7-a856-442a-892e-ec53cf25d654 · inbound

Aleks: AI powered Multi Agent System for Autonomous Scientific Discovery via Data-Driven Approaches in Plant Science cites this paper.

Aleks: AI powered Multi Agent System for Autonomous Scientific Discovery via Data-Driven Approaches in Plant Science PhenoAssistant: A Conversational Multi-Agent AI System for Automated Plant Phenotyping

Reference 1

Resolution
verified exact
local_arxiv, observed 2026-08-05T15:52:16.628524Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T15:52:16.442122Z digest=sha256:cc2d914f6136baa90f33abd60e70fd9eff7c670f57b0e5c22aea7f120d4acf30