Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-14T14:33:39.320724Z
Paper Citation Record · LEDGER
As of 16 August 2026, this Paper Citation Record lists 35 of 35 outbound references and 0 inbound Pith citation observations for arXiv:1908.02919.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-14T14:33:39.320724Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
35 of 35 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 69efada2-6cbc-4a7b-b167-989cd8cfa2e0 · outbound
AxoNet: an AI-based tool to count retinal ganglion cell axons Emerging Concepts in Glaucoma and Review of the Literature,
Reference 1
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 136e4410-efb1-431f-a12e-0bb2c9f37df9 · outbound
AxoNet: an AI-based tool to count retinal ganglion cell axons Primary open -angle glaucoma,
Reference 2
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation f98debbc-27d8-4132-a3c5-08dbf0c26118 · outbound
AxoNet: an AI-based tool to count retinal ganglion cell axons The normal human optic nerve. Axon count and axon diameter distribution,
Reference 3
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 1abdd5d5-c207-4775-91e0-a2b688df86ff · outbound
AxoNet: an AI-based tool to count retinal ganglion cell axons Glaucoma drops control intraocular pressure and protect optic nerves in a rat model of glaucoma,
Reference 4
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 67638ad9-2f10-48ae-bfa5-d98cb38fc0b2 · outbound
AxoNet: an AI-based tool to count retinal ganglion cell axons A semiautomated targeted sampling method to assess optic nerve axonal loss in a rat model of glaucoma,
Reference 5
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation e27264b0-2a95-4888-91d1-f62d1457379a · outbound
AxoNet: an AI-based tool to count retinal ganglion cell axons Age related optic nerve axonal loss in adult Brown Norway rats,
Reference 6
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 38fdb297-b908-47ce-86bd-5a55f7840218 · outbound
AxoNet: an AI-based tool to count retinal ganglion cell axons The number and diameter distribution of axons in the monkey optic nerve,
Reference 7
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation dc332518-20ff-4959-af5f-6dc6b56e46ac · outbound
AxoNet: an AI-based tool to count retinal ganglion cell axons Semiquantitative optic nerve grading scheme for determining axonal loss in experimental optic neuropathy,
Reference 8
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 50d5e59b-ef6b-4d51-b6a6-b5e99561e325 · outbound
AxoNet: an AI-based tool to count retinal ganglion cell axons Patterns of intraocular pressure elevation after aqueous humor outflow obstruction in rats,
Reference 9
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 3dd0ba23-0d2a-4b33-9894-f8e6a0240c1f · outbound
AxoNet: an AI-based tool to count retinal ganglion cell axons Efficient determination of axon number in the optic nerve: A stereological approach,
Reference 10
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation aa92023f-4b2f-4813-9073-452e7644172f · outbound
AxoNet: an AI-based tool to count retinal ganglion cell axons Estimating normal optic nerve axon numbers in non - human primate eyes,
Reference 11
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 93684428-2c7b-4b2d-a93c-932e6c418325 · outbound
AxoNet: an AI-based tool to count retinal ganglion cell axons Automated quantification of optic nerve axons in primate glaucomatous and normal eyes --method and comparison to semi-automated manual quantification,
Reference 12
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation d20d763b-7dca-455d-ba13-84a66330131e · outbound
AxoNet: an AI-based tool to count retinal ganglion cell axons Au tomated Axon Counting in Rodent Optic Nerve Sections with AxonJ,
Reference 13
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 3bace777-af17-4fdd-b2c6-f7b0f6a1f34e · outbound
AxoNet: an AI-based tool to count retinal ganglion cell axons A Novel Tree Shrew (Tupaia belangeri) Model of Glaucoma,
Reference 14
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation b28e8a74-5fe0-4041-a8b0-4a412e1ee587 · outbound
AxoNet: an AI-based tool to count retinal ganglion cell axons U -Net: Convolutional Networks for Biomedical Image Segmentation,
Reference 15
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation c7ceed69-f7bc-457f-a369-a8352fc96bef · outbound
AxoNet: an AI-based tool to count retinal ganglion cell axons Learni ng To Count Objects in Images,
Reference 16
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 0a4b2176-7c6c-4713-83e2-9d36222ffabc · outbound
AxoNet: an AI-based tool to count retinal ganglion cell axons Rodent models of glaucoma,
Reference 17
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 05116d10-d2de-4720-a831-ea85ed43f9f4 · outbound
AxoNet: an AI-based tool to count retinal ganglion cell axons NIH Image to ImageJ: 25 years of image analysis,
Reference 18
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 7b3528c3-0359-4f03-99c4-01584184d3aa · outbound
AxoNet: an AI-based tool to count retinal ganglion cell axons A novel method for the induction of experimental glaucoma using magnetic microspheres,
Reference 19
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 0dae591a-f26d-43e4-a664-8607dc1cd1de · outbound
AxoNet: an AI-based tool to count retinal ganglion cell axons Experimental glaucoma induced by ocular injection of magnetic microspheres,
Reference 20
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 486e597e-c798-4140-908a-43b0fdd6ddc8 · outbound
AxoNet: an AI-based tool to count retinal ganglion cell axons Early deficits in visual and retinal function in the rat microbead model of glaucoma,
Reference 21
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation a75a81bc-151c-446c-99ed-a2ff1d01a208 · outbound
AxoNet: an AI-based tool to count retinal ganglion cell axons Menopause exacerbates visual dysfunction in experimental glaucoma,
Reference 22
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 7db23932-7108-460f-9b1a-b20e0571a072 · outbound
AxoNet: an AI-based tool to count retinal ganglion cell axons Fiji : an open -source platform for biological -image analysis,
Reference 23
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 9f78e93f-fbc1-4861-934b-5842d2111845 · outbound
AxoNet: an AI-based tool to count retinal ganglion cell axons Unresolved cited work
Reference 24
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation ee7b9438-1fcb-4c36-86f0-29197003b61d · outbound
AxoNet: an AI-based tool to count retinal ganglion cell axons Unresolved cited work
Reference 25
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation fd9d0bfe-c2e9-47a0-98cf-6295fc729519 · outbound
AxoNet: an AI-based tool to count retinal ganglion cell axons TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems
Reference 26
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 84a21639-d4e3-4722-8ca2-d9aa099f533c · outbound
AxoNet: an AI-based tool to count retinal ganglion cell axons Adam: A Method for Stochastic Optimization
Reference 27
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0b26748c-62d8-4ffa-bd0a-b3265155ef35 · outbound
AxoNet: an AI-based tool to count retinal ganglion cell axons Measuring agreement in method comparison studies,
Reference 28
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 5e23cc10-1a82-471e-8855-23818238b781 · outbound
AxoNet: an AI-based tool to count retinal ganglion cell axons Assump tions of multiple regression: correcting two misconceptions,
Reference 29
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 03214e43-631b-4318-9232-efd46f50a22c · outbound
AxoNet: an AI-based tool to count retinal ganglion cell axons Four assumptions of multiple regression that researchers should always test,
Reference 30
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 6749ae37-b261-4abf-885e-1716a8432def · outbound
AxoNet: an AI-based tool to count retinal ganglion cell axons Translimbal laser photocoagulation to the trabecular meshwork as a model of glaucoma in rats,
Reference 31
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 25da0451-59e3-41e0-93fd-d3a0b557c8b1 · outbound
AxoNet: an AI-based tool to count retinal ganglion cell axons Ilastik: Interactive learning and segmentation toolkit,
Reference 32
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 522b494c-c09a-488a-8140-9a92fe09c4c3 · outbound
AxoNet: an AI-based tool to count retinal ganglion cell axons Crowd Counting with Density Adaption Networks
Reference 33
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 4ffb383c-d3f1-482e-aae5-47227811049d · outbound
AxoNet: an AI-based tool to count retinal ganglion cell axons W-Net: Reinforced U-Net for Density Map Estimation
Reference 34
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation c0f7f9e8-dfd2-4bfb-b5ff-8bce093fdf29 · outbound
AxoNet: an AI-based tool to count retinal ganglion cell axons AxonDeepSeg: automatic axon and myelin segmentation from microscopy data using convolutio nal neural networks,
Reference 35
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
No inbound Pith citation observations are available.