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Paper Citation Record · LEDGER

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

As of 8 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 2026-08-08T06:32:00.761636+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=sha256:08e4cf9183029b4f459a5a865a22d4e8246bb425e6f0b059b5ca61fed7249228

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=sha256:1f7a39d4623e4fa9a10c32ec152cfe598768cc14109023b5747a89161a0a83de

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=sha256:6d501f466c5360926de81a6924ec475eccf8b8e21c042d7527f440285fd2189b

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T19:34:05.575042Z digest=sha256:a842f722a280230446592dbdd5f29717cb3740d760ac78665885b7d9951fef72

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T19:34:05.671730Z digest=sha256:b6a0647d80a3a7b45dc7cdfe2c395a0b9cddcb1018c4b9d1d001699f1114bb14

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T19:34:05.752263Z digest=sha256:679a77b28802bfe3a6f291d03012165a9c62c978f123027ef60f77ef469b68fd

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:a67fce182b1af8e761d5638be64bcba031ea252c553fd45c30ca80a5064baadf

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:f5c716a932556ebd81664f5d21549bf62bca52226ed2df03e37b08c383007173

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T19:34:05.936728Z digest=sha256:e3716f0b364b66e0e8dabdab0997b939044b603532c53150807701df14e8f6b8

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:ee855538e3a4d8d52bf4b7fc872118babd6610922b4b988eb61f60c4f91e91b1

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T19:34:06.105693Z digest=sha256:f0a181a71363fc80a1e1209ffcdc2d772bdb56c3249ca52e001a334b8f07ce6b

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T19:34:06.192982Z digest=sha256:af34495fa8430ad0105d951d22008a5a74c856fd2c8650aedac876f8d1773cb9

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=sha256:816abf6f22bf6b693cdf942364ac46857561c8b595699ff70d5bb83d110aaa8e

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T19:34:06.346081Z digest=sha256:822e05b8dc6a52570c2d482ea3d3a460f732be3ee299d0964a09ec7db5775745

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=sha256:066dfe8163710c0f0dc56869eac74446dfbe326efc877704060b514b67b5662c

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T19:34:06.491103Z digest=sha256:457aab5023026b35a1cbc4a6348980e7a701666f7bffd26f6bf0df6698051b4e

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:d420e7d74fac5057ac2d587e0c47dac614401dbe36d220c70df8321c084b135f

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=sha256:06f67ad54b6efa0b7918abe99813d4cb21e3d0da4876a4d8696da8d2eafffcaf

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:df2e06eb801bcfe2a72a6770383216910813f121f7c226676e95e2e2f017d578

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=sha256:3a3a58fe32bd142f2f12493bf6263ceb8362d4d1936fd09917dcf0ec7c8a58e6

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T19:34:06.883615Z digest=sha256:2185702b3bd751ec3f8ffeab342bf7b5bb9bd2a5d0d9f83fd469ba4a8f836cbe

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=sha256:7e24e0ca6c4f3c8e692a0569bedd5f1320deb38a32d2710a2aebf411310237ff

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-30T04:48:51.748711Z digest=sha256:9c9e75ce58acd1608fe3820369a5d448d4ba2e38f7ed07c302e7a4def0cee34c