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Paper Citation Record · LEDGER

MindFlow: Revolutionizing E-commerce Customer Support with Multimodal LLM Agents

As of 22 August 2026, this Paper Citation Record lists 21 of 21 outbound references and 2 inbound Pith citation observations for arXiv:2507.05330.

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

pith.paper-citation-record.v1
2507.05330 v1

Coverage vector

measured 21 of 21 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T19:34:06.883615Z

measured 23 of 23 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T15:37:49.227474Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T16:14:53.944049Z

Reference resolution

21 of 21 outbound references displayed

  • verified exact3
  • verified fuzzy1
  • unresolved17
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 70584bd5-5ab8-4afa-aeb9-bf7798077290 · outbound

This paper cites online" 'onlinestring :=.

MindFlow: Revolutionizing E-commerce Customer Support with Multimodal LLM Agents online" 'onlinestring :=

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-06T19:34:05.336931Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:34:05.336931Z digest=sha256:f7d99608a9062a984f5ab6e4aaedd8c9afa48e7473bb0bbdecef323b43d22072

Observation 4a67f7fc-b10d-46dc-9fe0-cd1eeb512bb7 · outbound

This paper cites write newline.

MindFlow: Revolutionizing E-commerce Customer Support with Multimodal LLM Agents write newline

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-06T19:34:05.426639Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:34:05.426639Z digest=sha256:46ac07c208042cf4083226d7f45cd5ac40908194d38e9324cc911189d45dea71

Observation 3132834a-c904-49f7-8038-6ce9ddeab3be · outbound

This paper cites GPT-4 Technical Report.

MindFlow: Revolutionizing E-commerce Customer Support with Multimodal LLM Agents GPT-4 Technical Report

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-06T19:34:05.507479Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:34:05.507479Z digest=sha256:efc0403e734cb0c05c0fee5dd0d9f653e90041c756c36e6f4165c3c426af7d29

Observation 355ec624-8d22-4151-9300-4867824082f9 · outbound

This paper cites Ecom-bench: Can llm agent resolve real-world e-commerce customer support issues? Under submission at EMNLP 2025 (Industry Track).

MindFlow: Revolutionizing E-commerce Customer Support with Multimodal LLM Agents Ecom-bench: Can llm agent resolve real-world e-commerce customer support issues? Under submission at EMNLP 2025 (Industry Track)

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:34:08.590097Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-06T19:34:05.575042Z digest=sha256:8ad7e3b1c9943aae2778f4f2fc22599a2fa6b2fe6dbe8cad7253e6cf0eb38917

Observation e64703b0-2ec2-4c05-812c-83781b8b2367 · outbound

This paper cites an unresolved cited work.

MindFlow: Revolutionizing E-commerce Customer Support with Multimodal LLM Agents Unresolved cited work

Reference 5

Resolution
unresolved
raw_fallback, observed 2026-08-06T19:34:08.437241Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-06T19:34:05.671730Z digest=sha256:acb8619d5b4154a29335c284eaa99caba37b11a2ad2063990a4053cc182eaaa8

Observation 3be2ea80-7db4-42c5-9035-dfe3c7d09fb9 · outbound

This paper cites an unresolved cited work.

MindFlow: Revolutionizing E-commerce Customer Support with Multimodal LLM Agents Unresolved cited work

Reference 6

Resolution
unresolved
raw_fallback, observed 2026-08-06T19:34:08.214651Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-06T19:34:05.752263Z digest=sha256:d45b31c977f43f79506089d70f7f7d670b2c0b7cb8dda0c48b1a814eb370c05e

Observation 3b6457bd-f544-41fd-bc34-e1f30952ef32 · outbound

This paper cites LiLiuM: eBay's Large Language Models for e-commerce.

MindFlow: Revolutionizing E-commerce Customer Support with Multimodal LLM Agents LiLiuM: eBay's Large Language Models for e-commerce

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-06T19:34:05.813649Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:34:05.813649Z digest=sha256:0d74fecf1f6e051b55bdfce9e62bc3f7fd1d5bdf83d0f1dcc2183beb5e1985d1

Observation 4f3bbcff-1499-4fe3-b77d-19d2a543931f · outbound

This paper cites an unresolved cited work.

MindFlow: Revolutionizing E-commerce Customer Support with Multimodal LLM Agents Unresolved cited work

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-06T19:34:05.869891Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:34:05.869891Z digest=sha256:f77fbb72a61ec3ec4c34a1c18390606c9b1a07b1f039d87517703ff3a931e6b2

Observation 436bfffb-2bd8-4fae-8bac-3b12adca6713 · outbound

This paper cites an unresolved cited work.

MindFlow: Revolutionizing E-commerce Customer Support with Multimodal LLM Agents Unresolved cited work

Reference 9

Resolution
unresolved
raw_fallback, observed 2026-08-06T19:34:08.028985Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-06T19:34:05.936728Z digest=sha256:29b89148596c917eff4cdf0b2e5c8c5f1ba5e21d618de7e221008454c35b1bba

Observation cb2c2644-0551-4691-88ed-84e5e6798105 · outbound

This paper cites eCeLLM: Generalizing Large Language Models for E-commerce from Large-scale, High-quality Instruction Data.

MindFlow: Revolutionizing E-commerce Customer Support with Multimodal LLM Agents eCeLLM: Generalizing Large Language Models for E-commerce from Large-scale, High-quality Instruction Data

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-06T19:34:06.044889Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:34:06.044889Z digest=sha256:3211d127b0db5993fe960cbaaa3d82ed1e730a91a548a9f05a54f74de2ddc81c

Observation d36160f1-4ecb-4b67-9863-4f34b787fbfd · outbound

This paper cites Xmodel-2 Technical Report.

MindFlow: Revolutionizing E-commerce Customer Support with Multimodal LLM Agents Xmodel-2 Technical Report

Reference 11

Resolution
verified exact
local_arxiv, observed 2026-08-06T19:34:07.432390Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-06T19:34:06.105693Z digest=sha256:ff9ce4972118792d9f3e3243456e2f128e33f07048e0a3e66d6d01fbe3edf91c

Observation 0917a2ee-3404-4c2a-9c9f-1f443ade1681 · outbound

This paper cites A survey on fairness of large language models in e-commerce: progress, application, and challenge.

MindFlow: Revolutionizing E-commerce Customer Support with Multimodal LLM Agents A survey on fairness of large language models in e-commerce: progress, application, and challenge

Reference 12

Resolution
verified exact
local_arxiv, observed 2026-08-06T19:34:07.274471Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-06T19:34:06.192982Z digest=sha256:c0344b2ee1ac122ce58ae347b9aaec3d524324ca0b800fa2b52c161abf01531a

Observation fa7fe185-b359-4c28-9b0b-8c5f31b3bb12 · outbound

This paper cites an unresolved cited work.

MindFlow: Revolutionizing E-commerce Customer Support with Multimodal LLM Agents Unresolved cited work

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-06T19:34:06.285306Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:34:06.285306Z digest=sha256:390a4c6cf374c1d246758dde4bb596719cf72cc4821828a36dcc98b498f2e02d

Observation 222ae1af-9707-4b10-adac-168d374b131a · outbound

This paper cites an unresolved cited work.

MindFlow: Revolutionizing E-commerce Customer Support with Multimodal LLM Agents Unresolved cited work

Reference 14

Resolution
unresolved
raw_fallback, observed 2026-08-06T19:34:07.859488Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-06T19:34:06.346081Z digest=sha256:7b690d0b7be89f7b4c86393cf23f3dcb16e946af63d82ca907ace10ffa795c32

Observation 32d69128-8c9f-45df-be25-5a41329abf3e · outbound

This paper cites an unresolved cited work.

MindFlow: Revolutionizing E-commerce Customer Support with Multimodal LLM Agents Unresolved cited work

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-06T19:34:06.414595Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:34:06.414595Z digest=sha256:646b45015343cecd135c107b035e1519b3bdee935525ad813d5d3e465ab4aa0f

Observation 07278d3a-d7fa-4bca-9264-0423c4865201 · outbound

This paper cites an unresolved cited work.

MindFlow: Revolutionizing E-commerce Customer Support with Multimodal LLM Agents Unresolved cited work

Reference 16

Resolution
unresolved
raw_fallback, observed 2026-08-06T19:34:07.719336Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-06T19:34:06.491103Z digest=sha256:368c7438867fc8597d0a1878605575cf21f14571549dccf60dafdbe1690d8a53

Observation 79ad99f3-38d7-4551-bdac-43c79469c88f · outbound

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

MindFlow: Revolutionizing E-commerce Customer Support with Multimodal LLM Agents The Rise and Potential of Large Language Model Based Agents: A Survey

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-06T19:34:06.562387Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:34:06.562387Z digest=sha256:56c137190a59e5a14e85f2591d5377fe0d4a937230dd52ea000a009b0afd7269

Observation d5a18fc6-2d86-4435-b7a4-eb5fe61f1b15 · outbound

This paper cites an unresolved cited work.

MindFlow: Revolutionizing E-commerce Customer Support with Multimodal LLM Agents Unresolved cited work

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-06T19:34:06.644862Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:34:06.644862Z digest=sha256:298847ea2d68469b3d6311c84fe573c4951cd99c83158e864c50126eb3a23dd7

Observation 6403103f-44ca-4ff6-b837-c37e0b7b0e38 · outbound

This paper cites $\tau$-bench: A Benchmark for Tool-Agent-User Interaction in Real-World Domains.

MindFlow: Revolutionizing E-commerce Customer Support with Multimodal LLM Agents $\tau$-bench: A Benchmark for Tool-Agent-User Interaction in Real-World Domains

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-06T19:34:06.718092Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:34:06.718092Z digest=sha256:e49c10aabad87336073130dfc07fe06819b0b73d91b7316c51840736f858b914

Observation a2628975-c59b-40f2-b447-a4e0dd1800ff · outbound

This paper cites an unresolved cited work.

MindFlow: Revolutionizing E-commerce Customer Support with Multimodal LLM Agents Unresolved cited work

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-06T19:34:06.808502Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:34:06.808502Z digest=sha256:6c79440db1cd0bed1e80448a3bb51e6eb4803811f936c10e764cc9ff657690c8

Observation 7e09de8c-c399-4caa-9449-a88c62f6dec1 · outbound

This paper cites LLaSA: Large Language and E-Commerce Shopping Assistant.

MindFlow: Revolutionizing E-commerce Customer Support with Multimodal LLM Agents LLaSA: Large Language and E-Commerce Shopping Assistant

Reference 21

Resolution
verified exact
local_arxiv, observed 2026-08-06T19:34:07.058374Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-06T19:34:06.883615Z digest=sha256:527b9814504caa8e8dbd9f6a069cc63d1ed9d8ec819eef930d23abc5b36f97a9

Pith citing papers

Observation a01f976b-af6d-48d1-bc8b-f5119e791a00 · inbound

Survey of Specialized Large Language Model cites this paper.

Survey of Specialized Large Language Model MindFlow: Revolutionizing E-commerce Customer Support with Multimodal LLM Agents

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-05T15:37:49.227474Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T15:37:49.227474Z digest=sha256:51f08ec2ad4ce7a176f4e0c265797d9d36a7157bb15157b3b1bfee3e576db718

Observation dbf432cc-02a7-4360-982f-385335bf4c20 · inbound

MESA: Prioritizing Vulnerable Communication Channels for Securing Multi-Agent Systems cites this paper.

MESA: Prioritizing Vulnerable Communication Channels for Securing Multi-Agent Systems MindFlow: Revolutionizing E-commerce Customer Support with Multimodal LLM Agents

Reference 50

Resolution
verified exact
arxiv_id, observed 2026-06-30T16:14:53.945572Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-30T04:48:51.748711Z digest=sha256:e66f96adff16eb3d39027ebda9fa50628b02e4d22503318e3ff5eb0056edd646