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Paper Citation Record · LEDGER

REC-RL: Referring expression counting via Gaussian and range-based reward optimization

As of 6 August 2026, this Paper Citation Record lists 23 of 23 outbound references and 1 inbound Pith citation observation for arXiv:2605.16460.

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

pith.paper-citation-record.v1
2605.16460 v1

Coverage vector

measured 23 of 23 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-20T19:50:44.664358Z

measured 24 of 24 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-20T19:50:44.664358Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-05-20T19:53:42.705448Z

Reference resolution

23 of 23 outbound references displayed

  • verified exact9
  • verified fuzzy11
  • unresolved1
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d5dd42f8-1c7d-4035-9359-15fcfef5045a · outbound

This paper cites green pears on the table.

REC-RL: Referring expression counting via Gaussian and range-based reward optimization green pears on the table

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-05-20T19:53:58.096525Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation 5acbda0e-249a-447b-8bad-bb760e481e2c · outbound

This paper cites REC-RL: Referring expression counting via Gaussian and range-based reward optimization.

REC-RL: Referring expression counting via Gaussian and range-based reward optimization REC-RL: Referring expression counting via Gaussian and range-based reward optimization

Reference 2

Resolution
metadata mismatch
local_arxiv, observed 2026-05-20T19:53:42.708729Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation a8a0e66a-42bf-40fa-b2d0-286050be13b5 · outbound

This paper cites an unresolved cited work.

REC-RL: Referring expression counting via Gaussian and range-based reward optimization Unresolved cited work

Reference 3

Resolution
unresolved
raw_fallback, observed 2026-05-20T19:53:58.092588Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-20T19:50:44.664358Z digest=sha256:984b4a702436f68802bb0876320c1fb4ecedd9ae8bceb8f207083de218012a50

Observation 0ad7f245-ed6d-4c9d-9f9f-343c69866a4d · outbound

This paper cites think- range-answer.

REC-RL: Referring expression counting via Gaussian and range-based reward optimization think- range-answer

Reference 4

Resolution
malformed identifier
raw_fallback, observed 2026-05-20T19:53:58.110663Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-20T19:50:44.664358Z digest=sha256:5a8becce2435b3f01dc77b37fc71a34cf4faf453891813ec1b74ca2d98e5a186

Observation eb2dd265-cefc-4bfe-8a2b-fc55289c226b · outbound

This paper cites First, we introduce thethink-range-answerparadigm, which reframes REC from a direct mapping task to a struc- tured decision-making process.

REC-RL: Referring expression counting via Gaussian and range-based reward optimization First, we introduce thethink-range-answerparadigm, which reframes REC from a direct mapping task to a struc- tured decision-making process

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-05-20T19:53:58.126758Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-20T19:50:44.664358Z digest=sha256:4dbff48befedf12d344711178fad614a11733a8a117230870c4b1b4eda985c2e

Observation fa21a024-d8b6-4059-ba8e-6df198f2fbd9 · outbound

This paper cites Referring expres- sion counting.

REC-RL: Referring expression counting via Gaussian and range-based reward optimization Referring expres- sion counting

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-05-20T19:53:58.119430Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-20T19:50:44.664358Z digest=sha256:a99facad561c8bda61a48c88b1289fe7ab420708f3894efa315f3f03408b32c5

Observation 886e33c0-627c-4a42-97f7-627a42bc3ae3 · outbound

This paper cites Flamingo: a visual language model for few-shot learning.

REC-RL: Referring expression counting via Gaussian and range-based reward optimization Flamingo: a visual language model for few-shot learning

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-05-20T19:53:58.116240Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-20T19:50:44.664358Z digest=sha256:63695ecce51cc62923c389914460896da0b31f64643dc150a0eeedad7f78e2a5

Observation 7fcb5de3-7398-411c-8781-a41ac302cb80 · outbound

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

REC-RL: Referring expression counting via Gaussian and range-based reward optimization DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 8

Resolution
verified exact
local_arxiv, observed 2026-05-20T19:53:42.697778Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-20T19:50:44.664358Z digest=sha256:9387b5c999ae50ac40965d5a393174e854655524a8c6bf0ff99b308000831333

Observation e13a416d-ef69-4622-8241-dfeeb0ab6f40 · outbound

This paper cites DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models.

REC-RL: Referring expression counting via Gaussian and range-based reward optimization DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 9

Resolution
verified exact
local_arxiv, observed 2026-05-20T19:53:42.740011Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation 91f7cfd4-ca4e-4555-aee3-15dee224110e · outbound

This paper cites DAPO: An Open-Source LLM Reinforcement Learning System at Scale.

REC-RL: Referring expression counting via Gaussian and range-based reward optimization DAPO: An Open-Source LLM Reinforcement Learning System at Scale

Reference 10

Resolution
verified exact
local_arxiv, observed 2026-05-20T19:53:42.702682Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-20T19:50:44.664358Z digest=sha256:9ed45d9d67c6d13e7ef05508918ae19c757e958b8405e011cbd902914cfc6ae2

Observation 5c31dca6-b342-42e4-8cd0-cb73478baa03 · outbound

This paper cites Chain-of-thought prompting elicits reasoning in large language models.

REC-RL: Referring expression counting via Gaussian and range-based reward optimization Chain-of-thought prompting elicits reasoning in large language models

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-05-20T19:53:58.086181Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-20T19:50:44.664358Z digest=sha256:b80e680e23c5745de463601c6e87eb86a4d205c370b497cbd9cc454d16baab03

Observation e349868d-69e2-4fce-a3b8-563e9815eb43 · outbound

This paper cites R1-Onevision: Advancing Generalized Multimodal Reasoning through Cross-Modal Formalization.

REC-RL: Referring expression counting via Gaussian and range-based reward optimization R1-Onevision: Advancing Generalized Multimodal Reasoning through Cross-Modal Formalization

Reference 12

Resolution
verified exact
local_arxiv, observed 2026-05-20T19:53:42.723794Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-20T19:50:44.664358Z digest=sha256:00ecebf796ba65056a70406c39e320c05777f4f991393a79e35ed9a038f0f324

Observation 0485ebef-7be1-4b9f-a61c-b0f2c7b707ab · outbound

This paper cites VLM-R1: A Stable and Generalizable R1-style Large Vision-Language Model.

REC-RL: Referring expression counting via Gaussian and range-based reward optimization VLM-R1: A Stable and Generalizable R1-style Large Vision-Language Model

Reference 13

Resolution
verified exact
local_arxiv, observed 2026-05-20T19:53:42.735106Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-20T19:50:44.664358Z digest=sha256:e6cb42058cf652c7d4a557aa8693435f08ce1961b18524b33ccb1561e71ded54

Observation de35b5cc-35bc-4a75-ad77-98354d6796ea · outbound

This paper cites OpenVLThinker: Complex Vision-Language Reasoning via Iterative SFT-RL Cycles.

REC-RL: Referring expression counting via Gaussian and range-based reward optimization OpenVLThinker: Complex Vision-Language Reasoning via Iterative SFT-RL Cycles

Reference 14

Resolution
verified exact
local_arxiv, observed 2026-05-20T19:53:42.713868Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-20T19:50:44.664358Z digest=sha256:9ac516770889bae51bfb5fcd1becb4932290a13508ccc706e07cccde638c0fe2

Observation 0086127c-19de-406d-a21c-3b0511f0348f · outbound

This paper cites Visual-rft: Visual reinforcement fine-tuning.

REC-RL: Referring expression counting via Gaussian and range-based reward optimization Visual-rft: Visual reinforcement fine-tuning

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-05-20T19:53:58.107620Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-20T19:50:44.664358Z digest=sha256:57c8883cd16deb3a452dd8a38553d36f9887e31357c6e2466ddf388818d1853d

Observation 32844b63-1e93-459c-aaeb-2f705ce6e92a · outbound

This paper cites Let’s verify step by step.

REC-RL: Referring expression counting via Gaussian and range-based reward optimization Let’s verify step by step

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-05-20T19:53:58.122753Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation d9a04fcf-2aa1-4f80-b596-f81987399c91 · outbound

This paper cites Single- image crowd counting via multi-column convolutional neural network.

REC-RL: Referring expression counting via Gaussian and range-based reward optimization Single- image crowd counting via multi-column convolutional neural network

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-05-20T19:53:58.089270Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation da7074ea-9da6-46f7-b5ae-ca7c64f478d5 · outbound

This paper cites Grounding dino: Marrying dino with grounded pre-training for open-set object detection.

REC-RL: Referring expression counting via Gaussian and range-based reward optimization Grounding dino: Marrying dino with grounded pre-training for open-set object detection

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-05-20T19:53:58.100526Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-20T19:50:44.664358Z digest=sha256:3953fb05fa48e713c4277fa8242fe02380978d2ca2eb1888bee353080abf9711

Observation d584742c-e9ef-46a1-b466-696fde5db1d4 · outbound

This paper cites Qwen2.5-VL Technical Report.

REC-RL: Referring expression counting via Gaussian and range-based reward optimization Qwen2.5-VL Technical Report

Reference 19

Resolution
verified exact
local_arxiv, observed 2026-05-20T19:53:42.691930Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-20T19:50:44.664358Z digest=sha256:5d0af358e9529c59734e91460cbd9bdaf30de0cef3c28197a297320c956cbeb6

Observation a911b37e-eb79-4798-b82d-457a8a27bd85 · outbound

This paper cites Crowdvlm-r1: Expanding r1 ability to vision language model for crowd counting using fuzzy group relative policy reward.

REC-RL: Referring expression counting via Gaussian and range-based reward optimization Crowdvlm-r1: Expanding r1 ability to vision language model for crowd counting using fuzzy group relative policy reward

Reference 20

Resolution
verified exact
arxiv_id, observed 2026-05-20T19:53:42.729818Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-20T19:50:44.664358Z digest=sha256:1418f6c6580386ae04422ef62bae88b751bc399c11aa69494699688e0766539a

Observation 4ed1c87f-696e-4ce4-bbb7-3abdc9fc5249 · outbound

This paper cites Internvl: Scaling up vision foundation models and aligning for generic visual-linguistic tasks.

REC-RL: Referring expression counting via Gaussian and range-based reward optimization Internvl: Scaling up vision foundation models and aligning for generic visual-linguistic tasks

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-05-20T19:53:58.104637Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-20T19:50:44.664358Z digest=sha256:a002c0ceb27962ea551d5effb835c5a3c314f925a71782f0196eac26620fc9cf

Observation 87c704fb-ac31-40b5-8590-ebc1164a92cc · outbound

This paper cites GPT-4 Technical Report.

REC-RL: Referring expression counting via Gaussian and range-based reward optimization GPT-4 Technical Report

Reference 22

Resolution
verified exact
local_arxiv, observed 2026-05-20T19:53:42.718924Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-20T19:50:44.664358Z digest=sha256:8ab936afbaa42719d1f5217f2b17ffbcdc2c419580edd8ffd2e1db38b36d5da7

Observation 0f07e651-39d4-47e9-aa80-9e8dc1471b9c · outbound

This paper cites The llama 3 herd of models.

REC-RL: Referring expression counting via Gaussian and range-based reward optimization The llama 3 herd of models

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-05-20T19:53:58.113198Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-20T19:50:44.664358Z digest=sha256:c780fe50a0bf0ae1ce20b4138ae6030ec946dc5d2de36cd4be336179c9d09ebe

Pith citing papers

Observation 5acbda0e-249a-447b-8bad-bb760e481e2c · inbound

REC-RL: Referring expression counting via Gaussian and range-based reward optimization cites this paper.

REC-RL: Referring expression counting via Gaussian and range-based reward optimization REC-RL: Referring expression counting via Gaussian and range-based reward optimization

Reference 2

Resolution
metadata mismatch
local_arxiv, observed 2026-05-20T19:53:42.708729Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-20T19:50:44.664358Z digest=sha256:19f67a28ef12cc56701fa040999d1c7b416ff554ce979713663368d8806a0825